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Scalable Atomic Visibility with RAMP Transactions

Databases can provide scalability by partitioning data across several servers. However, multipartition, multioperation transactional access is often... (more)

Private and Scalable Execution of SQL Aggregates on a Secure Decentralized Architecture

Current applications, from complex sensor systems (e.g., quantified self) to online e-markets, acquire vast quantities of personal information that... (more)

A Declarative Framework for Linking Entities

We introduce and develop a declarative framework for entity linking and, in particular, for entity resolution. As in some earlier approaches, our framework is based on a systematic use of constraints. However, the constraints we adopt are link-to-source constraints, unlike in earlier approaches where source-to-link constraints were used to dictate... (more)

Bounded Repairability for Regular Tree Languages

We study the problem of bounded repairability of a given restriction tree language R into a target tree language T. More precisely, we say that R is bounded repairable with respect to T if there exists a bound on the number of standard tree editing operations necessary to apply to any tree in R to obtain a tree in T. We consider a number of... (more)

B-Trees and Cache-Oblivious B-Trees with Different-Sized Atomic Keys

Most B-tree articles assume that all N keys have the same size K, that f = B/K keys fit in a disk block, and therefore that the search cost is... (more)

Monadic Datalog and Regular Tree Pattern Queries

Containment of monadic datalog programs over trees is decidable. The situation is more complex when tree nodes carry labels from an infinite alphabet that can be tested for equality. It then matters whether the descendant relation is allowed or not: the descendant relation can be eliminated easily from monadic programs only when label equalities... (more)

NEWS

Changes to the TODS Editorial Board

As of January 1, 2016, five Associate Editors, Wenfei Fan, Chris Jermaine, Tova Milo, Lucian Popa, and Divesh Srivastava, ended their terms, having served on the editorial board for six, or between six and seven, years. In addition, they will stay on until they complete their current loads. We are fortunate that they have donated their time and world-class expertise during these years. Also five new Associate Editors have joined the editorial board: Marcelo Arenas, Gao Cong, Torsten Grust, Peter Haas, and Wim Martens.

Please read more here.

New options for ACM authors to manage rights and permissions for their work

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new author-pays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.

 

New TODS EiC Appointed 

The ACM Publications Board has appointed Christian S. Jensen as the seventh Editor-in-Chief of ACM TODS, as of this date. Christian replaces Z. Meral Özsoyoglu, who provided six years and eight months of excellent stewardship as TODS Editor-in-Chief. In addition to his many other accomplishments, Christian is an experienced TODS editor having previously served for six years as an Associate Editor (8/1/2001 to 7/31/2007).

Forthcoming Articles
Building a Hybrid Warehouse: Efficient Joins Between Data Stored in HDFS and Enterprise Warehouse

Haddop File System (HDFS) has become an important data repository in the enterprise as the center for all business analytics, from SQL queries, machine learning to reporting. At the same time, enterprise data warehouses (EDWs) continue to support critical business analytics. This has created the need for a new generation of special federation between Hadoop-like big data platforms and EDWs, which we call the hybrid warehouse. There are many applications that require correlating data stored in HDFS with EDW data, such as the analysis that associates click logs stored in HDFS with the sales data stored in the database. All existing solutions reach out to HDFS and read the data into the EDW to perform the joins, assuming that the Hadoop side does not have the efficient SQL support. In this paper, we show that it is actually better to do most data processing on the HDFS side, provided that we can leverage a sophisticated execution engine for joins on the Hadoop side. We identify the best hybrid warehouse architecture by studying various algorithms to join database and HDFS tables. We utilize Bloom filters to minimize the data movement, and exploit the massive parallelism in both systems to the fullest extent possible. We describe a new zigzag join algorithm, and show that it is a robust join algorithm for hybrid warehouses which performs well in almost all cases.We further develop a sophisticated cost model for the various join algorithms, and show that it can facilitate query optimization in the hybrid warehouse to correctly choose the right algorithm under different predicate and join selectivities.

Guarded-Based Disjunctive Tuple-Generating Dependencies

Rule-based languages lie at the core of several areas of central importance to databases and artificial intelligence, such as data exchange, deductive databases, and knowledge representation and reasoning, to name a few. An algorithmic task that involves rules and is crucial for the above applications is query answering. In this work, we perform an in-depth complexity analysis of query answering under the main guarded-based classes of disjunctive tuple-generating dependencies (TGDs), focussing on (unions of) conjunctive queries ((U)CQs). We show that the problem under investigation is very hard, namely 2EXPTIME-complete, even for fixed sets of dependencies of a very restricted form. This is a surprising lower bound that demonstrates the enormous impact of disjunction on query answering under guarded-based TGDs, and also reveals the source of complexity for expressive computational logics such as the guarded fragment of first-order logic. We then proceed to investigate whether prominent subclasses of (U)CQs, i.e., queries of bounded treewidth and hypertree-width, and acyclic queries, have a positive impact on the complexity of the problem under consideration. Interestingly, we show that queries of bounded treewidth and of bounded hypertree-width do not reduce the complexity of our problem, even if we focus on predicates of bounded arity, or on fixed sets of disjunctive TGDs. Regarding acyclic queries, although the problem remains 2EXPTIME-complete in general, in some relevant settings the complexity reduces to EXPTIME-complete; in fact, this requires to bound the arity of the predicates, and for some expressive guarded-based formalisms, to fix the set of dependencies. Finally, with the aim of identifying tractable cases, we focus our attention on atomic queries. We show that atomic queries do not make the query answering problem easier under classes of guarded-based disjunctive TGDs that allow more than one atom to occur in the body of the dependencies. However, the complexity significantly decreases in the case of dependencies that can have only one atom in the body, and in fact we obtain the first (and, to the best of our knowledge, the only known) tractability results for query answering under disjunctive TGDs. In particular, we obtain a PTIME-completeness if we focus on predicates of bounded arity, and AC0-membership when the set of dependencies and the query are fixed. It is worth noting that our techniques and results on query answering under guarded disjunctive TGDs can be used as a generic tool for establishing complexity results for query answering under central description logics.

The Goal Behind the Action: Towards Goal-aware Systems and Applications

Human activity is almost always intentional, be it in a physical context or as part of an interaction with a computer system. By understanding why user-generated events are happening and what purposes they serve, a system can offer a significantly improved and more engaging experience. However, goals and intentions cannot be easily captured. Analyzing user actions such as clicks and purchases can reveal patterns and behaviors but understanding the goals behind these actions is a different and challenging issue. Our work presents a unified, multi-disciplinary, and generic viewpoint for goal management that covers many different cases where goals can be used and techniques with which they can be exploited. Its purpose is to provide a common reference point to the concepts and challenging tasks that should be formally defined when someone wants to approach a data analysis problem from a goal-oriented point of view. This work also serves as a springboard to discuss several open challenges and opportunities for goal-oriented approaches in data management, analysis and sharing systems and applications.

Computational Fact-Checking through Query Perturbations

Our media is saturated with claims of "facts" made from data. Database research has in the past focused on how to answer queries, but has not devoted much attention to discerning more subtle qualities of the resulting claims ,e.g. is a claim "cherry-picking"? This paper proposes a framework that models claims based on structured data as parameterized queries. A key insight is that we can learn a lot about a claim by perturbing its parameters and see how its conclusion changes. This framework lets us formulate practical fact-checking tasks -- reverse-engineering vague claims, and countering questionable claims -- as computational problems. Along with the modeling framework, we develop an algorithmic framework that enables efficient instantiations of "meta" algorithms by supplying appropriate algorithmic building blocks. We present real-world examples and experiments that demonstrate the power of our model, efficiency of our algorithms, and usefulness of their results.

Exact and Approximate Maximum Inner Product Search with LEMP

We study exact and approximate methods for maximum inner product search, a fundamental problem in a number of data mining and information retrieval tasks. We propose the LEMP framework, which at its heart transforms maximum inner product search over a large database of vectors into a number of smaller cosine similarity search problems. This transformation allows LEMP to prune large parts of the search space immediately and to select suitable search algorithms for each of the remaining problems individually. LEMP is able to leverage existing methods for cosine similarity search. To improve efficiency, we additionally provide a number of novel search algorithms tailored to our setting. LEMP supports both exact and approximate search with quality guarantees. Our experimental study indicates that LEMP is up to an order of magnitude faster than state-of-the-art approaches for exact search, and it offers a better tradeoff between computational cost and result quality than existing approximate methods such as SimpleLSH or PCA trees.

Skycube Materialization Using the Topmost Skyline or Functional Dependencies

Given a table $T(Id, D_1,\dots, D_d)$, the skycube of $T$ is the set of skylines w.r.t. to all non empty subsets (subspaces) of the dimensions set $\{D_1,\dots, D_d\}$. In orderto optimize these skyline queries, the solutions proposed so far in the literature either (i) pre-compute all the skylines or (ii) they propose compression techniques so as the derivation of every skyline is performed with little effort. Clearly, solutions (i) do not scale when $d$ is large because of the exponential number of skylines. Solutions (ii) are appealing in terms of skyline derivation but they too suffer from a high computation complexity making them unfeasible in practice. In this paper, we propose a new formalization of the optimization problem: find a minimal set of skylines sufficient to answer every remaining skyline queries while avoiding to use the, possibly large, underlying data. Our solution can be seen as a trade-off between query evaluation time, computational cost for finding what to materialize and the memory space usage. To solve this problem, we need to know if the skyline w.r.t. some dimension set $X$ is included into the skyline w.r.t. $Y$ provided $X$ is included into $Y$. Because of the non-monotonic nature of skylines, it is hard to establish this relationship. By exploiting the classical concept of functional dependencies, we identify cases where the inclusion holds. Equipped with this information, we show how to find the smallest set of skylines to materialize. We conduct a thorough experimental study showing that with the help of a small number of materialized skylines, we drastically reduce the execution time of the remaining skyline queries. We also propose an algorithm for the full materialization of skycubes and compare it to state of the art solutions. We show empirically that our proposal outperforms previous work both on real and synthetic data especially with large dimensionality and/or data size. Finally, we compare our proposal to {\em the closed skycube} technique. It turns that in general our solution requires less storage space and more importantly, it is orders of magnitude faster to obtain when the number of dimensions increases.

Exact Model Counting of Query Expressions: Limitations of Propositional Methods

We prove exponential lower bounds on the running time of the state-of-the-art exact model counting algorithms -- algorithms for exactly computing the number of satisfying assignments, or the satisfying probability, of Boolean formulas. These algorithms can be seen, either directly or indirectly, as building {\em decision-DNNF (Decision-Decomposable Negation Normal Form)} representations of the input Boolean formulas. decision-DNNFs are a special case of $d$-DNNFs where $d$ stands for {\em deterministic}. We show that any knowledge compilation representations from a class (called DLDDs in this paper) that contain decision-DNNFs can be converted into equivalent {\em FBDDs (Free Binary Decision Diagrams)}, also known as {\em Read-Once Branching Programs}, with only a quasi-polynomial increase in representation size. Leveraging known exponential lower bounds for FBDDs, we then obtain similar exponential lower bounds for decision-DNNFs, which imply exponential lower bounds for model-counting algorithms. We also separate the power of decision-DNNFs from $d$-DNNFs and a generalization of decision-DNNFs known as AND-FBDDs. We then prove new lower bounds for FBDDs that yield exponential lower bounds on the running time of these exact model counters when applied to the problem of query evaluation in tuple-independent probabilistic databases -- computing the probability of an answer to a query given independent probabilities of the individual tuples in a database instance. This approach to the query evaluation problem in which one first obtains the lineage for the query and database instance as a Boolean formula, and then performs weighted model counting on the lineage is known as \emph{grounded inference}. A second approach known as \emph{lifted inference} or \emph{extensional query evaluation} exploits the high-level structure of the query as a first-order formula. Although it has been widely believed that lifted inference is strictly more powerful than grounded inference on the lineage alone, no formal separation has previously been shown for query evaluation. In this paper we show such a formal separation for the first time. In particular, for any of a class of queries for which model counting has previously been shown to be polynomial-time computable using extensional query evaluation, we show that the grounded inference approach of using state-of-the-art exact model counters on their lineages provably requires exponential time.

Exploiting integrity constraints for cleaning trajectories of RFID-monitored objects

A probabilistic framework for cleaning the data collected by RFID-tracking systems is introduced. What has to be cleaned is the set of trajectories that are the possible interpretations of the readings: a trajectory in this set is a sequence whose generic element is a location covered by the reader(s) that performed the detection at the corresponding time point. The cleaning is guided by integrity constraints, and consists in discarding the inconsistent trajectories and assigning to the others a suitable probability of being the actual ones. The probabilities are evaluated by adopting probabilistic conditioning, that logically consists in these steps. First, the trajectories are assigned a-priori probabilities, obtained by relying on the independence assumption between distinct time points. Then, the probability of each consistent trajectory is revised to take into account the spatio-temporal correlations encoded by the constraints. This is done by conditioning the a-priori probability of each trajectory to the event that the constraints are satisfied: this means taking the ratio of this a-priori probability to the sum of the a-priori probabilities of all the consistent trajectories. Instead of performing these steps by materializing all the trajectories and their a-priori probabilities (which is infeasible, owing to the typically huge number of trajectories to be considered), our approach exploits a data structure (ct-graph) that enables a compact representation of the consistent trajectories and their conditioned probabilities, and an algorithm for efficiently constructing the ct-graph, that progressively builds it while avoiding the construction of portions of the graph corresponding to inconsistent trajectories.

A Better Way to Measure Query Time

It is surprisingly hard to obtain accurate and precise measurements of the time spent executing a query. We review relevant per-process and overall measures obtainable from the Linux kernel and introduce a structural causal model relating these measures. A thorough correlational analysis provides strong support for this model. We encountered many sources of variance in query time. We attempted to determine why a particular measurement wasnt repeatable, and then to devise ways to eliminate or reduce that variance.We developed a timing protocol that applies to proprietary DBMSes, that ensures the repeatability of a query, and that obtains a quite accurate query execution time, while dropping very few outliers. This resulting query time measurement procedure, termed the New Timing Protocol (NTP), consists of the following steps: (1) perform sanity checks to ensure validity of the data, (2) drop some query executions via clearly motivated predicates, (3) drop some entire queries at a cardinality, again via clearly motivated predicates, (4) for those that remain, compute a single measured time by a carefully justified formula over the underlying measures of the remaining query executions, and (5) perform post-analysis sanity checks. The result is a mature, general, robust, self-checking protocol that provides a more precise and more accurate timing of the query. The protocol is also applicable to other operating domains in which measurements of multiple processes each doing computation and I/O is needed.

Extending the Kernel of a Relational DBMS with Comprehensive Support for Sequenced Temporal Queries

Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal aspect. While SQL-based database management systems (DBMSs) are capable of supporting the management of interval data, the support they offer can be improved considerably. A range of proposed temporal data models and query languages offer ample evidence to this effect. Natural queries that are very difficult to formulate in SQL are easy to formulate in these temporal query languages. The increased focus on analytics over historical data where queries are generally more complex exacerbates the difficulties and thus the potential benefits of a temporal query language. Commercial DBMSs have recently started to offer limited temporal functionality in a step-by-step manner, focusing on the representation of intervals and neglecting the implementation of the query evaluation engine. This paper demonstrates how it is possible to extend the relational database engine to achieve a full-fledged, industrial-strength implementation of a complete temporal query language. The approach reduces temporal queries to nontemporal queries that can be processed efficiently, and it leaves the processing of nontemporal queries unaffected. Specifically, the approach hinges on three concepts: interval adjustment, timestamp propagation, and attribute scaling. Interval adjustment is enabled by introducing two new relational operators, a temporal normalizer and a temporal aligner, and the latter two concepts are enabled by the replication of timestamp attributes and the use of so-called scaling functions. By providing a set of reduction rules, we can transform any temporal query, expressed in terms of temporal relational operators, to a query expressed in terms of relational operators and the two new operators. We prove that the size of a transformed query is linear in the number of temporal operators in the original query. An integration of the new operators and the transformation rules, along with query optimization rules, into the kernel of PostgreSQL is reported. Empirical studies with the resulting temporal DBMS are covered that offer insight into pertinent design properties of the paper's proposal. The new system is available as open source software.

Response to Differential Dependencies Revisited

A recent article [Vincent et al. 2015] concerns the correctness of several results in reasoning about differential dependencies (DDs), originally reported in [Song and Chen 2011]. The major concern by [Vincent et al. 2015] roots from irrationally assuming a type of infeasible differential functions in the given DDs for consistency and implication analysis, which are not under consideration as clearly stated in [Song and Chen 2011]. A differential function is said infeasible if there is no tuple pair with values that can satisfy the specified distance constraints, e.g., [price(< 2,> 4)] requires the difference of two price values to be < 2 and > 4 at the same time, which is clearly impossible. Any differential dependency involving such infeasible differential functions is obviously meaningless, and would neither be specified by domain experts nor discovered from data. Therefore, as already stated clearly in [Song and Chen 2011], the considered DDs do NOT include infeasible differential functions. With the irrational assumptions clarified, we show that the results reported in [Song and Chen 2011] (concerned by [Vincent et al. 2015]) are correct.

Joins via Geometric Resolutions: Worst-case and Beyond

We present a simple geometric framework for the relational join. Using this framework, we design an algorithm that achieves the fractional hypertree-width bound, which generalizes classical and recent worst-case algorithmic results on computing joins. In addition, we use our framework and the same algorithm to show a series of what are colloquially known as beyond worst-case results. The framework allows us to prove results for data stored in Btrees, multidimensional data structures, and even multiple indices per table. A key idea in our framework is formalizing the inference one does with an index as a type of geometric resolution; transforming the algorithmic problem of computing joins to a geometric problem. Our notion of geometric resolution can be viewed as a geometric analog of logical resolution. In addition to the geometry and logic connections, our algorithm can also be thought of as backtracking search with memoization.

Bibliometrics

Publication Years 1976-2016
Publication Count 926
Citation Count 30325
Available for Download 926
Downloads (6 weeks) 3186
Downloads (12 Months) 34853
Downloads (cumulative) 781757
Average downloads per article 844
Average citations per article 33
First Name Last Name Award
Divyakant Agrawal ACM Distinguished Member (2010)
ACM Senior Member (2008)
Eric Allman ACM Distinguished Member (2009)
Sihem Amer-Yahia ACM Senior Member (2007)
Algirdas Avizienis ACM-IEEE CS Eckert-Mauchly Award (2012)
Hari Balakrishnan ACM Doctoral Dissertation Award (1998)
Michael W. Blasgen ACM Programming Systems and Languages Paper Award (1982)
Roderic G. Cattell ACM Doctoral Dissertation Award (1978)
Donald Chamberlin ACM Software System Award (1988)
Panos K Chrysanthis ACM Distinguished Member (2010)
ACM Senior Member (2007)
Edgar F Codd ACM A. M. Turing Award (1981)
Graham R. Cormode ACM Distinguished Member (2013)
William J Dally ACM-IEEE CS Eckert-Mauchly Award (2010)
David DeWitt ACM Software System Award (2008)
Peter J Denning Outstanding Contribution to ACM Award (1998)
ACM Karl V. Karlstrom Outstanding Educator Award (1996)
ACM Distinguished Service Award (1989)
ACM Programming Systems and Languages Paper Award (1971)
Carla S. Ellis ACM Distinguished Member (2009)
Ahmed Elmagarmid ACM Distinguished Member (2009)
Martin Erwig ACM Senior Member (2008)
Jane Fedorowicz ACM Senior Member (2014)
Alan D Fekete ACM Distinguished Member (2006)
Elena Ferrari ACM Distinguished Member (2011)
Peter A. Franaszek ACM Paris Kanellakis Theory and Practice Award (2002)
Minos Garofalakis ACM Distinguished Member (2011)
ACM Senior Member (2009)
Shahram Ghandeharizadeh ACM Software System Award (2008)
Calvin C. Gotlieb Outstanding Contribution to ACM Award (2011)
ACM Presidential Award (2002)
Goetz Graefe ACM Software System Award (2008)
Jim Gray ACM A. M. Turing Award (1998)
ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
Jayant R Haritsa ACM Distinguished Member (2009)
Robert L. Hartmann ACM Senior Member (2009)
Gernot Heiser ACM Senior Member (2009)
Gerald Held ACM Software System Award (1988)
Ihab F. Ilyas ACM Distinguished Member (2014)
Piotr Indyk ACM Paris Kanellakis Theory and Practice Award (2012)
Richard Karp ACM A. M. Turing Award (1985)
Randy H. Katz ACM Karl V. Karlstrom Outstanding Educator Award (1999)
Zvi Kedem Outstanding Contribution to ACM Award (2012)
Won Kim ACM Distinguished Service Award (2001)
David J Kuck ACM-IEEE CS Ken Kennedy Award (2010)
ACM-IEEE CS Eckert-Mauchly Award (1993)
Leslie Lamport ACM A. M. Turing Award (2013)
Bruce Lindsay ACM Programming Systems and Languages Paper Award (1982)
Tok Wang Ling ACM Distinguished Member (2009)
ACM Senior Member (2009)
Jorge Lobo ACM Distinguished Member (2009)
Raymond A Lorie ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
Nancy Lynch ACM Athena Lecturer Award (2012)
Paul R McJones ACM Programming Systems and Languages Paper Award (1982)
Jack Minker ACM AAAI Allen Newell Award (2005)
Outstanding Contribution to ACM Award (1985)
Mohamed F Mokbel ACM Senior Member (2013)
Mario A Nascimento ACM Senior Member (2007)
Jeffrey F Naughton ACM Software System Award (2008)
Jian Pei ACM Senior Member (2007)
Thomas G Price ACM Programming Systems and Languages Paper Award (1982)
Vijay V Raghavan ACM Distinguished Member (2012)
Louiqa Raschid ACM Distinguished Member (2008)
Domenico Sacca ACM Senior Member (2007)
Hanan Samet ACM Paris Kanellakis Theory and Practice Award (2011)
Donovan A Schneider ACM Software System Award (2008)
Timoleon Sellis ACM Senior Member (2008)
Cyrus Shahabi ACM Distinguished Member (2009)
Prashant J Shenoy ACM Distinguished Member (2009)
ACM Senior Member (2006)
Abraham Silberschatz ACM Karl V. Karlstrom Outstanding Educator Award (1998)
Donald R Slutz ACM Programming Systems and Languages Paper Award (1971)
Richard T Snodgrass Outstanding Contribution to ACM Award (2004)
Richard E Stearns ACM A. M. Turing Award (1993)
Ion Stoica ACM Doctoral Dissertation Award (2001)
Michael Stonebraker ACM A. M. Turing Award (2014)
ACM Software System Award (1988)
Robert E Tarjan ACM Paris Kanellakis Theory and Practice Award (1999)
ACM A. M. Turing Award (1986)
Robert W Taylor ACM Software System Award (1984)
Srikanta N Tirthapura ACM Senior Member (2009)
Irv Traiger ACM Software System Award (1988)
ACM Programming Systems and Languages Paper Award (1982)
ACM Programming Systems and Languages Paper Award (1971)
Jeffrey D Ullman ACM Karl V. Karlstrom Outstanding Educator Award (1997)
Moshe Y Vardi Outstanding Contribution to ACM Award (2009)
ACM Presidential Award (2008)
ACM Paris Kanellakis Theory and Practice Award (2005)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Mark Allen Weiss ACM Distinguished Member (2011)
Jennifer Widom ACM Athena Lecturer Award (2015)
Eugene Wong ACM Software System Award (1988)
Kesheng Wu ACM Distinguished Member (2010)
ACM Senior Member (2007)
Yang Xiang ACM Senior Member (2016)

First Name Last Name Paper Counts
Ronald Fagin 13
Hector Garcia-Molina 13
Philip Bernstein 13
Yufei Tao 12
Jeffrey Ullman 10
Nathan Goodman 9
Richard Snodgrass 9
Phokion Kolaitis 9
Dan Suciu 8
Eugene Wong 8
Minos Garofalakis 8
Hanan Samet 8
Dimitris Papadias 8
Wangchiew Tan 8
Sushil Jajodia 8
Victor Vianu 8
Wenfei Fan 7
Michael Stonebraker 7
Clement Yu 7
Stefano Ceri 7
Don Batory 7
Christian Jensen 7
Meral Özsoyoğlu 7
Raghu Ramakrishnan 7
Serge Abiteboul 7
Hosagrahar Jagadish 7
Surajit Chaudhuri 6
David DeWitt 6
Yannis Ioannidis 6
Leonid Libkin 6
Yehoshua Sagiv 6
Alberto Mendelzon 6
Marianne Winslett 6
Carlo Zaniolo 6
Won Kim 6
Nick Koudas 6
Graham Cormode 6
Floris Geerts 6
VS Subrahmanian 6
Xuemin Lin 6
Lucian Popa 5
Sharad Mehrotra 5
Ouri Wolfson 5
Frank Neven 5
Rudolf Bayer 5
Alin Dobra 5
Luis Gravano 5
Susan Davidson 5
Veda Storey 5
Divesh Srivastava 5
Marcelo Arenas 5
Jef Wijsen 5
Laks Lakshmanan 5
Amr El Abbadi 5
Gültekin Özsoyoglu 5
George Kollios 5
Nikos Mamoulis 5
Stijn Vansummeren 5
Per Larson 5
Catriel Beeri 5
David Shipman 5
Michael Franklin 5
Kotagiri Ramamohanarao 5
Shibing Yao 5
Christopher Jermaine 5
Michael Böhlen 5
Jennifer Widom 5
Ke Yi 4
Benny Kimelfeld 4
Henry Korth 4
David Maier 4
Philip Yu 4
Manlung Yiu 4
Yinong Chen 4
Tiko Kameda 4
David Lomet 4
Stavros Christodoulakis 4
Arie Shoshani 4
Alan Fekete 4
Phillip Gibbons 4
Dimitrios Gunopulos 4
Florin Rusu 4
Paolo Ciaccia 4
Ziyang Liu 4
Xiaokui Xiao 4
Shamkant Navathe 4
Raymond Ng 4
Georg Gottlob 4
Mario Schkolnick 4
Dan Olteanu 4
Peter Buneman 4
Joseph Hellerstein 4
Nick Roussopoulos 4
Dennis Shasha 4
Bengchin Ooi 4
Jan Chomicki 4
Stanley Su 4
Dorothy Denning 4
Sara Cohen 4
Kenneth Sevcik 4
Stefano Paraboschi 4
Michael Carey 4
Pierangela Samarati 3
Marios Hadjieleftheriou 3
Jorge Pérez 3
Marco Patella 3
Dmitri Kalashnikov 3
Mankeung Siu 3
Esen Ozkarahan 3
Wim Martens 3
Miron Livny 3
Paolo Tiberio 3
Neoklis Polyzotis 3
Gustavo Alonso 3
Gautam Das 3
Pierre Bourhis 3
Oded Shmueli 3
Christoph Koch 3
Walid Aref 3
Martin Kersten 3
Raymond Lorie 3
Yiping Ke 3
Arnon Rosenthal 3
Elke Rundensteiner 3
Edwin Jacox 3
Edward Sciore 3
Markus Schneider 3
James Rothnie 3
Piero Fraternali 3
Krithi Ramamritham 3
Samuel Madden 3
Yannis Papakonstantinou 3
Nicolas Bruno 3
Gio Wiederhold 3
Cheng Sheng 3
Jan Paredaens 3
Anastasia Ailamaki 3
Thomas Eiter 3
Bettina Kemme 3
Kenneth Salem 3
Giuseppe Pelagatti 3
Richard Hull 3
Wei Wang 3
Ben Shneiderman 3
Toon Calders 3
Arie Segev 3
Divyakant Agrawal 3
Dennis Severance 3
Bradford Wade 3
Gerhard Weikum 3
Bernhard Seeger 3
William Kent 3
Salvatore March 3
Bruce Lindsay 3
Chen Li 3
Leonid Libkin 3
Jeffrey Vitter 3
Douglas Comer 3
James Cheng 3
Rakesh Agrawal 3
Jim Gray 3
Wilfred Ng 3
Cyrus Shahabi 3
Sergey Melnik 3
Anthony Klug 3
Alfred Aho 3
Jeffreyxu Yu 3
Goetz Graefe 3
Patrick Valduriez 3
Elena Baralis 3
Kevin Chang 3
David Stemple 3
K Lam 3
Dennis McLeod 3
Walter Burkhard 3
Kianlee Tan 3
Wiebren De Jonge 3
James Clifford 3
Debabrata Dey 3
John Robinson 3
Michael Benedikt 3
Thomas Schwentick 3
Panagiotis Ipeirotis 3
Eliezer Lozinskii 3
Tova Milo 3
Vijay Raghavan 3
Panos Kalnis 3
Sebastian Link 3
Luc Segoufin 3
Guy Lohman 3
Toshihide Ibaraki 3
Peter Lockemann 3
Peter Wood 2
Val Tannen 2
Lee Hollaar 2
Junghoo Cho 2
Dario Colazzo 2
Alan Nash 2
John Kam 2
Todd Green 2
Balder Cate 2
Patrick O'Neil 2
Bingsheng He 2
Vagelis Hristidis 2
Joseph Wald 2
Vassilis Athitsos 2
Chaitanya Mishra 2
Paolo Atzeni 2
Andrew Whinston 2
Kenneth Ross 2
Francesco Malvestuto 2
Chinwan Chung 2
Angela Bonifati 2
Tom Ameloot 2
Balder Ten Cate 2
Subramanian Arumugam 2
Abhijit Pol 2
Izchak Sharfman 2
Qing Liu 2
Yanlei Diao 2
Anastasios Kementsietsidis 2
Allen Van Gelder 2
Robert Ross 2
Panagiotis Karras 2
George Loizou 2
Jens Teubner 2
Justin Zobel 2
Reind Van De Riet 2
Amit Kumar 2
Fei Xu 2
Filippo Furfaro 2
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Ion Stoica 1
Roozbeh Ebrahimi 1
Xiaofang Zhou 1
Alan Aronson 1
Edward Mazur 1
Ke Deng 1
Wenfei Fan 1
Jianzhong Li 1
Kvsvn Raju 1
Henry Gladney 1
Nagui Halim 1
Piotr Indyk 1
Foto Afrati 1
Jennifer Widom 1
David Cheung 1
Akhil Kumar 1
Jonathan Shopiro 1
Hideto Ikeda 1
Henrik Björklund 1
Ravi Kannan 1
Alin Deutsch 1
Edward Omiecinski 1
Derek Eager 1
Claire David 1
Tony Tan 1
Prasenjit Mitra 1
Klaus Elhardt 1
Algirdas Avižienis 1
Farid Alavian 1
Goetz Graefe 1
Eduardo Gutarra 1
Véronique Benzaken 1
Jianliang Xu 1
Ioana Manolescu 1
Chongling Nie 1
Barzan Mozafari 1
Jayant Madhavan 1
William Dally 1
John Keen 1
George Sicherman 1
John Woodfill 1
Giuseppe Pozzi 1
Kazimierz Subieta 1
Andrey Balmin 1
Antonio Albano 1
Shashi Gadia 1
Richard Karp 1
Roberto Zicari 1
Frank Pittelli 1
Sudarshan Chawathe 1
Venkatesan Chakravarthy 1
Michael Fink 1
Vassilis Tsotras 1
Philip Bohannon 1
Avraham Leff 1
Licia Sbattella 1
Leslie Lamport 1
Sunil Kamath 1
Yücel Saygın 1
Charles Welty 1
Thanaa Ghanem 1
Jane Liu 1
Hirofumi Katsuno 1
Antonios Deligiannakis 1
Yaming Yu 1
Narayanan Krishnakumar 1
Di Yang 1
Tamir Tassa 1
Chun Chen 1
Yinian Qi 1
Jeannie Shands 1
John Grant 1
Shahram Ghandeharizadeh 1
Richard Baum 1
Herman Lam 1
Markos Zaharioudakis 1
Donald Slutz 1
Dertsai Lee 1
Hans Hinterberger 1
Naga Govindaraju 1
Joachim Schmidt 1
James Cash 1
Allan Kent 1
Honesty Young 1
Jack Milton 1
John Lloyd 1
J Skeen 1
Peter Revesz 1
Rod Price 1
Michael Wilens 1
David Dobkin 1
Ron Weber 1
Nikos Lorentzos 1
Uwe Röhm 1
Philip Lewis 1
Eric Hanson 1
Christos Faloutsos 1
Leonard Shapiro 1
Viswanath Poosala 1
Henryk Rybiński 1
Jozo Dujmović 1
Greg Fu 1
Abhinav Gupta 1
RamSewak Sharma 1
Lei Sheng 1
Ken Pu 1
Wei Hong 1
Haim Mendelson 1
Chun Leng 1
Abdel Farrag 1
Chaoyi Pang 1
Thomas Schwarz 1
Hongyan Liu 1
Xiaoyu Wang 1
Daniel Abadi 1
Jakub Závodný 1
András Salamon 1
Stavros Papadopoulos 1
Heonyoung Yeom 1
Sudeepa Roy 1
Danielyang Li 1
Steve Fox 1
Jixue Liu 1
Vishesh Karwa 1
Edward Chang 1
Xiaochun Yang 1
Yaoshu Wang 1
Mehdi Sharifzadeh 1
Giuseppe Polese 1
Benjamin Nguyen 1
Filip Mazowiecki 1
Qiang Zhu 1
Gang Qian 1
Fragkiskos Pentaris 1
Robert Frankel 1
Larry Kerschberg 1
Gerald Popek 1
Glenn Thomas 1
Yinan Li 1
Boduo Li 1
Yael Amsterdamer 1
Antonio Furtado 1
Niels Nes 1
Radu Berinde 1
Henryk Woźniakowski 1
Renée Miller 1
Hicham Elmongui 1
Martin Ester 1
Robert Hartmann 1
Milena Ivanova 1
Yishan Jiao 1
Grant Wang 1
Kithung Cheng 1
Mika Miyagishima 1
Fumio Suzuki 1
H Hartson 1
Vicky Papavasileiou 1
Jane Fedorowicz 1
Wenchin Chen 1
Janet Kolodner 1
Johannes Gehrke 1
Daniel Lemire 1

Affiliation Paper Counts
Federal University of Rio de Janeiro 1
Ecole Normale Superieure 1
Compaq Systems Research Center 1
Humboldt University of Berlin 1
NASA Langley Research Center 1
Emory University 1
University of Buenos Aires 1
Florida State University 1
New Mexico State University Las Cruces 1
Victoria University of Wellington 1
University of Amsterdam 1
Polytechnic University - Brooklyn 1
University of Haifa 1
Courant Institute of Mathematical Sciences 1
IBM India Research Laboratory New Delhi 1
Toyohashi University of Technology 1
Cleveland State University 1
University of Nebraska 1
University of Bergamo 1
Dongduk Women's University 1
University of Houston 1
University of Michigan-Dearborn 1
Federal University of Rio Grande do Sul 1
La Trobe University 1
University of Missouri-Kansas City 1
University of Bonn 1
Old Dominion University 1
University of South Florida Tampa 1
Johann Wolfgang Goethe University of Frankfurt 1
Musashino Electrical Communication Lab 1
Technical University in Braunschweig 1
Bremen University 1
Tektronix Incorporated 1
Jet Propulsion Laboratory 1
University of Kansas 1
Silicon Graphics, Inc. 1
Linkoping University 1
Universite des Sciences et Technologies de Lille 1
University of Montreal 1
University of St. Thomas, Minnesota 1
University of Central Oklahoma 1
Washington University in St. Louis 1
Santa Clara University 1
University of Southern Maine 1
Institute of Computer Science of the Polish Academy of Sciences 1
Queensland University of Technology 1
Technical University of Darmstadt 1
Baylor University 1
Technical University of Denmark 1
Japan Advanced Institute of Science and Technology 1
Kobe University 1
BBN Technologies 1
Oakland University 1
Shibaura Institute of Technology 1
University of Zurich 1
Roma Tre University 1
Brno University of Technology 1
Renmin University of China 1
Polytechnic University - Long Island Graduate Center 1
University of Louisiana at Lafayette 1
Abo Akademi University 1
University of Southern California, Information Sciences Institute 1
University of Tennessee, Knoxville 1
University of Stuttgart 1
Dalhousie University 1
University of Kentucky 1
Charles University in Prague 1
Oregon Health and Science University 1
University of Heidelberg 1
Justus Liebig University Giessen 1
University of Tubingen 1
Universite Charles de Gaulle Lille 3 1
Wichita State University 1
Parametric Technology Corporation 1
Wright State University 1
The University of North Carolina at Greensboro 1
Agricultural University of Athens 1
LSI Corporation 1
University of L'Aquila 1
Memorial University of Newfoundland 1
Chinese Academy of Sciences 1
James Cook University, Australia 1
Bucknell University 1
University of Liverpool 1
University of Toledo 1
University College London 1
University of Macau 1
Open University of Israel 1
University of Bari 1
University of Delaware 1
Tufts University 1
Bioinformatics Institute, A-Star, Singapore 1
Chongqing University 1
Andhra University 1
Universite Claude Bernard Lyon 1 1
University of California, San Francisco 1
Portland State University 1
University of Siegen 1
Southern Illinois University 1
University of Strathclyde 1
Shanghai Jiaotong University 1
The University of North Carolina at Chapel Hill 1
San Diego Supercomputer Center 1
University of Genoa 1
University of Tokyo 1
Tver State University 1
Nippon Telegraph & Telephone 1
University of Freiburg 1
University of Nebraska - Lincoln 1
Ben-Gurion University of the Negev 1
Stevens Institute of Technology 1
University of Hamburg 1
J.P. Morgan Chase & Co. 1
Siemens AG 1
Ludwig Maximilian University of Munich 1
Monmouth University 1
Xerox Webster Research Center 1
Universite Joseph Fourier 1
Queen's University Belfast 1
Universite de Versailles Saint-Quentin-en-Yvelines 1
Temple University 1
Baruch College 1
Institute of Computing Technology Chinese Academy of Sciences 1
Umea University 1
Panasonic Technologies, Inc. 1
Penn State Erie, The Behrend College 1
McMaster University 1
University of Nevada, Las Vegas 1
Illinois State University 1
North Dakota State University 1
Pohang University of Science and Technology 1
The Graduate Center 1
Miami University Oxford 1
Shanghai University of Finance and Economics 1
Universitat Pompeu Fabra 1
Griffith University 1
Public University of Navarrea 1
Alexandria University 1
Concordia University, Montreal 1
U.S. Army Research Laboratory 1
University of Belgrade 1
SAP AG 1
Free Universities of Brussels 1
Schlumberger 1
Amdahl Corporation 1
General Research Corporation 1
Fujitsu Services Limited 1
Siemens USA 1
Universite Paris-Est 1
Niihama National College of Technology 1
King Abdullah University of Science and Technology 1
Academic College of Tel-Aviv - Yaffo 1
Computer Sciences Corp. 1
Universite de Bordeaux 1
Zirve University 1
Hamad bin Khalifa University 1
INRIA Saclay 1
Specifications and Verification Laboratory 1
Yahoo Research Barcelona 2
University of Colorado at Boulder 2
University of Munster 2
Kansas State University 2
University of Johannesburg 2
Universite Pierre et Marie Curie 2
University of Crete 2
Institute for Infocomm Research, A-Star, Singapore 2
National Technical University of Athens 2
University of Salzburg 2
University of Modena and Reggio Emilia 2
North Carolina State University 2
Ecole Normale Superieure de Cachan 2
University of Minnesota System 2
NASA Goddard Space Flight Center 2
City University of New York 2
Louisiana State University 2
University of Zagreb 2
Universite Paris Dauphine 2
Sabanci University 2
Birkbeck University of London 2
University of Vermont 2
University of Manitoba 2
Istituto Di Calcolo E Reti Ad Alte Prestazioni, Rende 2
The University of Western Ontario 2
Kyoto University 2
State University of New York at Albany 2
Oregon State University 2
Indian Institute of Science 2
University of Passau 2
University of Tsukuba 2
AT&T Inc. 2
Polish Academy of Sciences 2
Sun Microsystems 2
University of Saskatchewan 2
General Electric Company 2
University of Guelph 2
RWTH Aachen University 2
University of New Brunswick 2
Florida Atlantic University 2
Athens University of Economics and Business 2
Leiden University 2
Federal Judicial Center 2
University of Louisville 2
Basilicata University Potenza 2
University of Florence 2
The University of Warwick 2
University of Central Florida 2
University of Bayreuth 2
University of Iowa 2
South China University of Technology 2
University of Konstanz 2
Northeastern University 2
NICTA 2
Commonwealth Scientific and Industrial Research Organization 2
Syracuse University 2
Hiroshima University 2
Boston College 2
University of California System 2
Indian Institute of Technology, Delhi 2
Eindhoven University of Technology 2
Saarland University 2
International Computer Science Institute 2
Institute of Computer Science Crete 2
Laboratoire Traitement et Communication de l'Information 2
Max Planck Institute for Informatics 3
Nagoya University 3
McGill University 3
Zhejiang University 3
IBM Tokyo Research Laboratory 3
Iowa State University 3
University of Ioannina 3
Rice University 3
University of Auckland 3
Universite Paris 7- Denis Diderot 3
Google Inc. 3
University of Mannheim 3
University of Salerno 3
Northwestern University 3
CNRS Centre National de la Recherche Scientifique 3
University of Kaiserslautern 3
University of Ulm 3
University of Mons-Hainaut 3
University of Warsaw 3
University of Massachusetts System 3
Indian Institute of Technology, Bombay 3
University of Brescia 3
University of Washington 3
University of Wisconsin 3
University of Wisconsin Milwaukee 3
University of Twente 3
Technical University of Clausthal 3
Catholic University of Leuven 3
INRIA Futurs 3
Virginia Tech 3
Kent State University 3
University of Oklahoma 3
University of Roma La Sapienza 3
University of London 3
University of Massachusetts Lowell 3
University of Michigan 4
George Washington University 4
Tel Aviv University 4
Unisys 4
MIT Computer Science and Artificial Intelligence Laboratory 4
Brigham Young University 4
Hong Kong Polytechnic University 4
University of California , Merced 4
Polytechnic Institute of Turin 4
University of Turin 4
Georgia State University 4
Philipps-Universitat Marburg 4
Seoul National University 4
Bilkent University 4
Aristotle University of Thessaloniki 4
University of Udine 4
Technical University of Madrid 4
University at Buffalo, State University of New York 4
INRIA Rocquencourt 4
University of Dortmund 4
Microsoft Research Asia 4
Aalto University 4
Universite Libre de Bruxelles 5
SRI International 5
University of Texas at Arlington 5
Ohio State University 5
Duke University 5
Worcester Polytechnic Institute 5
Universidad de Chile 5
Florida International University 5
Southern Methodist University 5
Singapore Management University 5
University of Hagen 5
Sun Yat-Sen University 5
Italian National Research Council 5
Swiss Federal Institute of Technology, Zurich 5
University of Rochester 5
University of Pisa 5
University of California, Riverside 5
University of Aarhus 5
Rutgers, The State University of New Jersey 5
Michigan State University 5
Northeastern University China 5
Microelectronics Computer Technology Corporation 6
University of Helsinki 6
University of Illinois 6
Brown University 6
Center for Mathematics and Computer Science - Amsterdam 6
MITRE Corporation 6
Beihang University 6
Hong Kong Baptist University 6
University of California, Davis 6
University of Pittsburgh 6
Carleton University 6
Harbin Institute of Technology 6
Hewlett-Packard 6
Indiana University 6
Technical University of Crete 6
University of Sydney 6
Swiss Federal Institute of Technology, Lausanne 6
University of Athens 6
University of South Australia 6
Yahoo Research Labs 6
Vrije Universiteit Amsterdam 7
RMIT University 7
City University of Hong Kong 7
Georgia Institute of Technology 7
Ecoles polytechniques federales 7
University of Utah 7
Pontificia Universidad Catolica de Chile 7
University of Regina 7
Fujitsu 8
AT&T Laboratories Florham Park 8
Free University of Bozen-Bolzano 8
HP Labs 8
University Michigan Ann Arbor 8
University of Queensland 8
Korea Advanced Institute of Science & Technology 8
Intel Corporation 8
Intel Research Laboratories 8
Yale University 9
Lawrence Berkeley National Laboratory 9
University of Antwerp 9
University of Calabria 9
Universite Paris-Sud XI 9
Microsoft 9
Nanyang Technological University 10
The University of Hong Kong 10
University of Texas at Austin 10
INRIA Institut National de Rechereche en Informatique et en Automatique 10
Simon Fraser University 10
Stony Brook University 10
University of California, Santa Barbara 10
Karlsruhe Institute of Technology, Campus South 10
University of Minnesota Twin Cities 10
University of Milan 10
Pennsylvania State University 11
Arizona State University 11
IBM Research 11
Vienna University of Technology 11
Technical University of Munich 11
Tsinghua University 11
Boston University 12
Technion - Israel Institute of Technology 12
Hebrew University of Jerusalem 13
The University of British Columbia 13
Case Western Reserve University 14
George Mason University 14
University of Melbourne 14
Carnegie Mellon University 14
University of Bologna 14
University of Massachusetts Amherst 15
Aalborg University 15
Oracle Corporation 15
University of Alberta 15
Cornell University 16
University of Washington Seattle 16
University of California, Los Angeles 16
University of Illinois at Chicago 16
Columbia University 16
Harvard University 17
National University of Singapore 17
New York University 17
University of Illinois at Urbana-Champaign 18
University of California, Irvine 18
University of Arizona 18
Hasselt University 18
University of California, Santa Cruz 18
Princeton University 19
University of Oxford 19
University of Southern California 19
Chinese University of Hong Kong 20
University of Pennsylvania 20
IBM 21
Microsoft Research 21
Massachusetts Institute of Technology 22
University of New South Wales 22
University of California, San Diego 23
University of Waterloo 24
Alcatel-Lucent Bell Labs 25
Purdue University 27
University of Edinburgh 27
IBM Thomas J. Watson Research Center 30
University of Wisconsin Madison 32
Politecnico di Milano 34
University of Florida 37
University of Toronto 38
University of California, Berkeley 42
Hong Kong University of Science and Technology 44
Stanford University 44
University of Maryland 44
IBM Almaden Research Center 96

ACM Transactions on Database Systems (TODS)
Archive


2016
Volume 41 Issue 3, August 2016
Volume 41 Issue 2, June 2016 Invited Paper from SIGMOD 2014 and Regular Papers
Volume 41 Issue 1, April 2016 Invited Paper from ICDT 2015, SIGMOD 2014, EDBT 2014 and Regular Papers
Volume 40 Issue 4, February 2016 Special Issue: Invited 2014 PODS and EDBT Revised Articles

2015
Volume 40 Issue 3, October 2015
Volume 40 Issue 2, June 2015
Volume 40 Issue 1, March 2015

2014
Volume 39 Issue 4, December 2014 Invited Articles Issue, SIGMOD 2013, PODS 2013 and ICDT 2013
Volume 39 Issue 3, September 2014
Volume 39 Issue 2, May 2014
Volume 39 Issue 1, January 2014

2013
Volume 38 Issue 4, November 2013 Invited papers issue
Volume 38 Issue 3, August 2013
Volume 38 Issue 2, June 2013
Volume 38 Issue 1, April 2013

2012
Volume 37 Issue 4, December 2012
Volume 37 Issue 3, August 2012
Volume 37 Issue 2, May 2012
Volume 37 Issue 1, February 2012

2011
Volume 36 Issue 4, December 2011
Volume 36 Issue 3, August 2011
Volume 36 Issue 2, May 2011
Volume 36 Issue 1, March 2011

2010
Volume 35 Issue 4, November 2010
Volume 35 Issue 3, July 2010
Volume 35 Issue 2, April 2010
Volume 35 Issue 1, February 2010

2009
Volume 34 Issue 4, December 2009
Volume 34 Issue 3, August 2009
Volume 34 Issue 2, June 2009
Volume 34 Issue 1, April 2009

2008
Volume 33 Issue 4, November 2008
Volume 33 Issue 3, August 2008
Volume 33 Issue 2, June 2008
Volume 33 Issue 1, March 2008

2007
Volume 32 Issue 4, November 2007
Volume 32 Issue 3, August 2007
Volume 32 Issue 2, June 2007
Volume 32 Issue 1, March 2007

2006
Volume 31 Issue 4, December 2006
Volume 31 Issue 3, September 2006
Volume 31 Issue 2, June 2006
Volume 31 Issue 1, March 2006

2005
Volume 30 Issue 4, December 2005 Special Issue: SIGMOD/PODS 2004
Volume 30 Issue 3, September 2005
Volume 30 Issue 2, June 2005
Volume 30 Issue 1, March 2005 Special Issue: SIGMOD/PODS 2003

2004
Volume 29 Issue 4, December 2004
Volume 29 Issue 3, September 2004
Volume 29 Issue 2, June 2004
Volume 29 Issue 1, March 2004

2003
Volume 28 Issue 4, December 2003
Volume 28 Issue 3, September 2003
Volume 28 Issue 2, June 2003
Volume 28 Issue 1, March 2003

2002
Volume 27 Issue 4, December 2002
Volume 27 Issue 3, September 2002
Volume 27 Issue 2, June 2002
Volume 27 Issue 1, March 2002

2001
Volume 26 Issue 4, December 2001
Volume 26 Issue 3, September 2001
Volume 26 Issue 2, June 2001
Volume 26 Issue 1, March 2001

2000
Volume 25 Issue 4, Dec. 2000
Volume 25 Issue 3, Sept. 2000
Volume 25 Issue 2, June 2000
Volume 25 Issue 1, March 2000

1999
Volume 24 Issue 4, Dec. 1999
Volume 24 Issue 3, Sept. 1999
Volume 24 Issue 2, June 1999
Volume 24 Issue 1, March 1999

1998
Volume 23 Issue 4, Dec. 1998
Volume 23 Issue 3, Sept. 1998
Volume 23 Issue 2, June 1998
Volume 23 Issue 1, March 1998

1997
Volume 22 Issue 4, Dec. 1997
Volume 22 Issue 3, Sept. 1997
Volume 22 Issue 2, June 1997
Volume 22 Issue 1, March 1997

1996
Volume 21 Issue 4, Dec. 1996
Volume 21 Issue 3, Sept. 1996
Volume 21 Issue 2, June 1996
Volume 21 Issue 1, March 1996

1995
Volume 20 Issue 4, Dec. 1995
Volume 20 Issue 3, Sept. 1995
Volume 20 Issue 2, June 1995
Volume 20 Issue 1, March 1995

1994
Volume 19 Issue 4, Dec. 1994
Volume 19 Issue 3, Sept. 1994
Volume 19 Issue 2, June 1994
Volume 19 Issue 1, March 1994

1993
Volume 18 Issue 4, Dec. 1993
Volume 18 Issue 3, Sept. 1993
Volume 18 Issue 2, June 1993
Volume 18 Issue 1, March 1993

1992
Volume 17 Issue 4, Dec. 1992
Volume 17 Issue 3, Sept. 1992
Volume 17 Issue 2, June 1992
Volume 17 Issue 1, March 1992

1991
Volume 16 Issue 4, Dec. 1991
Volume 16 Issue 3, Sept. 1991
Volume 16 Issue 2, June 1991
Volume 16 Issue 1, March 1991

1990
Volume 15 Issue 4, Dec. 1990
Volume 15 Issue 3, Sept. 1990
Volume 15 Issue 2, June 1990
Volume 15 Issue 1, March 1990

1989
Volume 14 Issue 4, Dec. 1989
Volume 14 Issue 3, Sept. 1989
Volume 14 Issue 2, June 1989
Volume 14 Issue 1, March 1989

1988
Volume 13 Issue 4, Dec. 1988
Volume 13 Issue 3, Sept. 1988
Volume 13 Issue 2, June 1988
Volume 13 Issue 1, March 1988

1987
Volume 12 Issue 4, Dec. 1987
Volume 12 Issue 3, Sept. 1987
Volume 12 Issue 2, June 1987
Volume 12 Issue 1, March 1987

1986
Volume 11 Issue 4, Dec. 1986
Volume 11 Issue 3, Sept. 1986
Volume 11 Issue 2, June 1986
Volume 11 Issue 1, March 1986

1985
Volume 10 Issue 4, Dec. 1985
Volume 10 Issue 3, Sept. 1985
Volume 10 Issue 2, June 1985
Volume 10 Issue 1, March 1985

1984
Volume 9 Issue 4, Dec. 1984
Volume 9 Issue 3, Sept. 1984
Volume 9 Issue 2, June 1984
Volume 9 Issue 1, March 1984

1983
Volume 8 Issue 4, Dec. 1983
Volume 8 Issue 3, Sept. 1983
Volume 8 Issue 2, June 1983
Volume 8 Issue 1, March 1983

1982
Volume 7 Issue 4, Dec. 1982
Volume 7 Issue 3, Sept. 1982
Volume 7 Issue 2, June 1982
Volume 7 Issue 1, March 1982

1981
Volume 6 Issue 4, Dec. 1981
Volume 6 Issue 3, Sept. 1981
Volume 6 Issue 2, June 1981
Volume 6 Issue 1, March 1981

1980
Volume 5 Issue 4, Dec. 1980
Volume 5 Issue 3, Sept. 1980
Volume 5 Issue 2, June 1980
Volume 5 Issue 1, March 1980

1979
Volume 4 Issue 4, Dec. 1979
Volume 4 Issue 3, Sept. 1979
Volume 4 Issue 2, June 1979
Volume 4 Issue 1, March 1979

1978
Volume 3 Issue 4, Dec. 1978
Volume 3 Issue 3, Sept. 1978
Volume 3 Issue 2, June 1978
Volume 3 Issue 1, March 1978

1977
Volume 2 Issue 4, Dec. 1977
Volume 2 Issue 3, Sept. 1977
Volume 2 Issue 2, June 1977
Volume 2 Issue 1, March 1977

1976
Volume 1 Issue 4, Dec. 1976
Volume 1 Issue 3, Sept. 1976
Volume 1 Issue 2, June 1976
Volume 1 Issue 1, March 1976 Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
 
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