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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)

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
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 which usually end-up on central servers where they are exposed to prying eyes. Conversely, decentralized architectures helping individuals keep full control of their data, complexify global treatments and queries, impeding the development of innovative services. This paper precisely aims at reconciling individual's privacy on one side and global benefits for the community and business perspectives on the other side. It promotes the idea of pushing the security to secure hardware devices controlling the data at the place of their acquisition. Thanks to these tangible physical elements of trust, secure distributed querying protocols can reestablish the capacity to perform global computations, such as SQL aggregates, without revealing any sensitive information to central servers. This paper studies the subset of SQL queries without external joins and shows how to secure their execution in the presence of honest-but-curious attackers. It also discusses how the resulting querying protocols can be integrated in a concrete decentralized architecture. Cost models and experiments on SQL/AA, our distributed prototype running on real tamper-resistant hardware, demonstrate that this approach can scale to nationwide applications.

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.

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.

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.

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.

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 925
Citation Count 29869
Available for Download 925
Downloads (6 weeks) 3617
Downloads (12 Months) 36062
Downloads (cumulative) 777492
Average downloads per article 841
Average citations per article 32
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)
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)
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-W 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)
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)
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)
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-W 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
Hector Garcia-Molina 13
Philip Bernstein 13
Ronald Fagin 12
Yufei Tao 12
Jeffrey Ullman 10
Nathan Goodman 9
Richard Snodgrass 9
Eugene Wong 8
Minos Garofalakis 8
Victor Vianu 8
Dan Suciu 8
Sushil Jajodia 8
Phokion Kolaitis 8
Hanan Samet 8
Dimitris Papadias 8
Wenfei Fan 7
Michael Stonebraker 7
Clement Yu 7
Stefano Ceri 7
Don Batory 7
Christian Jensen 7
Meral Özsoyoğlu 7
Wangchiew Tan 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
Sharad Mehrotra 5
Ouri Wolfson 5
Frank Neven 5
Rudolf Bayer 5
Alin Dobra 5
Luis Gravano 5
Susan Davidson 5
Veda Storey 5
Marcelo Arenas 5
Divesh Srivastava 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
Lucian Popa 4
David Lomet 4
Arie Shoshani 4
Stavros Christodoulakis 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
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
Guy Lohman 3
Toshihide Ibaraki 3
Peter Lockemann 3
Pierangela Samarati 3
Jorge Pérez 3
Marios Hadjieleftheriou 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
Oded Shmueli 3
Martin Kersten 3
Walid Aref 3
Christoph Koch 3
Raymond Lorie 3
Yiping Ke 3
Arnon Rosenthal 3
Elke Rundensteiner 3
Edwin Jacox 3
Edward Sciore 3
James Rothnie 3
Markus Schneider 3
Pierre Bourhis 3
Piero Fraternali 3
Joseph Hellerstein 3
Krithi Ramamritham 3
Samuel Madden 3
Yannis Papakonstantinou 3
Nicolas Bruno 3
Gio Wiederhold 3
Cheng Sheng 3
Jan Paredaens 3
Thomas Eiter 3
Anastasia Ailamaki 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
James Cheng 3
Douglas Comer 3
Wilfred Ng 3
Rakesh Agrawal 3
Jim Gray 3
Cyrus Shahabi 3
Sergey Melnik 3
Anthony Klug 3
Alfred Aho 3
Jeffreyxu Yu 3
Goetz Graefe 3
Elena Baralis 3
Kevin Chang 3
Patrick Valduriez 3
David Stemple 3
K Lam 3
Dennis McLeod 3
Walter Burkhard 3
Kianlee Tan 3
Wiebren De Jonge 3
James Clifford 3
Alan Fekete 3
John Robinson 3
Debabrata Dey 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
Alan Nash 2
John Kam 2
Todd Green 2
Vagelis Hristidis 2
Vassilis Athitsos 2
Joseph Wald 2
Bingsheng He 2
Balder Cate 2
Patrick O'Neil 2
Chaitanya Mishra 2
Williamfrank King 2
Cristian Riveros 2
Sanjeev Khanna 2
Francesco Malvestuto 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
Jens Teubner 2
Reind Van De Riet 2
Amit Kumar 2
Justin Zobel 2
Fei Xu 2
George Loizou 2
Michael Siegel 2
Filippo Furfaro 2
Curtis Dyreson 2
Rabia Nuray-Turan 2
Hamid Pirahesh 2
Letizia Tanca 2
Giovanni Sacco 2
Antonios Deligiannakis 2
Sławek Staworko 2
Mingxi Wu 2
Feifei Li 2
Christos Polyzois 2
Wolfgang Effelsberg 2
Xifeng Yan 2
Pankaj Agarwal 2
Yin Yang 2
Andrew McGregor 2
James Cheney 2
Giorgio Ghelli 2
Assaf Schuster 2
Calvin Gotlieb 2
Ron Obermarck 2
E Babb 2
Marco Casanova 2
Jiawei Han 2
Torsten Grust 2
Patricia Griffiths 2
Maurice Herlihy 2
Mauro Negri 2
Debra Vandermeer 2
Ting Yu 2
Xiaolei Qian 2
Davide Martinenghi 2
Guoliang Li 2
Claudio Bettini 2
Kyriakos Mouratidis 2
Christopher 2
Georgia Koutrika 2
John Smith 2
Louiqa Raschid 2
Peter Wood 2
Val Tannen 2
Lee Hollaar 2
Junghoo Cho 2
Dario Colazzo 2
Reinhard Pichler 2
Marc Graham 2
Claudio Sartori 2
Kyuyoung Whang 2
Rong Zhang 2
Randy Katz 2
Ling Liu 2
Christopher Reeve 2
Takwoon Yan 2
Qiong Luo 2
Richard Brice 2
Donald Kossmann 2
Jianhua Feng 2
Abraham Silberschatz 2
Michael Kifer 2
Francis Chin 2
Victor Matos 2
Edward, Chan 2
Shivnath Babu 2
Guido Moerkotte 2
C Mohan 2
Baihua Zheng 2
Kyriacos Pavlou 2
Alan Smith 2
Jan Bussche 2
Barron Housel 2
Jan Van Den Bussche 2
Dirk Van Gucht 2
Ahmed Elmagarmid 2
Ihab Ilyas 2
Haran Boral 2
Gabriel Kuper 2
Jürg Nievergelt 2
Paul Sorenson 2
Mark Levene 2
Marco Tagliasacchi 2
Evaggelia Pitoura 2
Robert Goldstein 2
Morton Astrahan 2
James Mehl 2
Michael Hammer 2
Peter Denning 2
Elisa Bertino 2
Raymond Wong 2
Diane Smith 2
Ting Deng 2
Ilaria Bartolini 2
Sakti Pramanik 2
Werner Nutt 2
Gao Cong 2
Theo Härder 2
Romulo Gonçalves 2
Qing Zhang 2
Ricardo Jiménez-Peris 2
Wei Wang 2
Alistair Moffat 2
Paolo Atzeni 2
Kesheng Wu 2
Stephen Sherman 2
Sergio Flesca 2
Wenchi Hou 2
Andrew Whinston 2
Kenneth Ross 2
Chinwan Chung 2
H Kung 2
Weidong Chen 2
Yannis Manolopoulos 2
Claudio GutiéRrez 2
Alexander Markowetz 2
Yaacov Weiss 2
Alin Deutsch 2
Yidong Yuan 2
Jian Pei 2
Nicolas Spyratos 2
Liyan Yuan 2
Sven Hartmann 2
Gísli Hjaltason 2
Zhewei Wei 2
Sonia Bergamaschi 2
Gerome Miklau 2
Nikolaus Augsten 2
Haixun Wang 2
Nancy Lynch 2
Philip Lehman 2
Chuan Xiao 2
Mohamed Mokbel 2
Arash Termehchy 2
Ron Sacks-Davis 2
Roger King 2
Vivek Narasayya 2
Peter Franaszek 2
David Embley 2
Sheldon Finkelstein 2
Michalis Potamias 2
Jan Schlorer 2
Yair Wand 2
Geert Bex 2
Dina Bitton 2
Marta Patiño-Martínez 2
Moshe Vardi 2
Kyuseok Shim 2
Jianbin Qin 2
Tamer Özsu 2
Tolga Bozkaya 2
Jeffrey Naughton 2
Donghui Zhang 2
Panos Chrysanthis 2
Barbara Pernici 2
Gottfried Vossen 2
Christos, Papadimitriou 2
Lei Chen 2
Anindya Datta 2
Sudipto Guha 2
Witold Litwin 2
Jack Minker 2
Donald Chamberlin 2
Irving Traiger 2
Ralf Güting 2
Daniel Ries 2
Alexander Thomasian 2
Millist Vincent 2
Wenfei Fan 2
Jiaheng Lu 2
S Muthukrishnan 2
Ken Smith 2
Heikki Mannila 2
Shimin Chen 2
Eric Clemons 2
Mary Loomis 1
Stan Sclaroff 1
George Karypis 1
Joseph Ng 1
Álvaro Cortés-Calabuig 1
Xiao Bai 1
Volkert Brosda 1
Karl Schnaitter 1
Anthony Baroody 1
Zheng Fang 1
Kurt Rothermel 1
Tomasz Imielinski 1
Yongchiang Tay 1
Paolo Paolini 1
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U Kang 1
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Ada Fu 1
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Thomas Behr 1
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Wig Ag 1
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E Smith 1
Ying Zhang 1
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Yannei Law 1
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Xiangning Liu 1
Shaoxu Song 1
P Griffiths Selinger 1
Valeria De Antonellis 1
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Jack Buchanan 1
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Luca Cabibbo 1
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Amir Zarkesh 1
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G Putzolu 1
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W Luk 1
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Wilfred Ng 1
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Hongcheu Liu 1
Zhifeng Hao 1
Seungwon Hwang 1
C Veni Madhavan 1
Yufei Tao 1
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Uri Shaft 1
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Arun Kumar 1
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Filip Murlak 1
Zixuan Zhuang 1
Cheng Long 1
Jan Schloer 1
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Ke Deng 1
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Goetz Graefe 1
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William Dally 1
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Giuseppe Pozzi 1
Kazimierz Subieta 1
Antonio Albano 1
Richard Karp 1
Andrey Balmin 1
Michael Fink 1
Vassilis Tsotras 1
Philip Bohannon 1
Thanaa Ghanem 1
Yücel Saygın 1
Charles Welty 1
Hirofumi Katsuno 1
Antonios Deligiannakis 1
Shashi Gadia 1
Venkatesan Chakravarthy 1
Sunil Kamath 1
Jane Liu 1
Jayant Madhavan 1
Roberto Zicari 1
Frank Pittelli 1
Sudarshan Chawathe 1
Avraham Leff 1
Licia Sbattella 1
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Di Yang 1
Tamir Tassa 1
Narayanan Krishnakumar 1
Yaming Yu 1
Chun Chen 1
Yinian Qi 1
John Grant 1
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Richard Baum 1
Jeannie Shands 1
Markos Zaharioudakis 1
Donald Slutz 1
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Herman Lam 1
Rod Price 1
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Michael Wilens 1
Ron Weber 1
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Naga Govindaraju 1
Philip Lewis 1
Joachim Schmidt 1
Allan Kent 1
Honesty Young 1
Jack Milton 1
Eric Hanson 1
Jozo Dujmović 1
Leonard Shapiro 1
Viswanath Poosala 1
Dertsai Lee 1
David Dobkin 1
Uwe Röhm 1
James Cash 1
Christos Faloutsos 1
John Lloyd 1
RamSewak Sharma 1
Wei Hong 1
Henryk Rybiński 1
Greg Fu 1
Abhinav Gupta 1
Lei Sheng 1
J Skeen 1
Haim Mendelson 1
Hongyan Liu 1
Xiaoyu Wang 1
Chun Leng 1
Chaoyi Pang 1
Thomas Schwarz 1
Daniel Abadi 1
András Salamon 1
Jakub Závodný 1
Stavros Papadopoulos 1
Heonyoung Yeom 1
Abdel Farrag 1
Sudeepa Roy 1
Danielyang Li 1
Jixue Liu 1
Steve Fox 1
Vishesh Karwa 1
Edward Chang 1
Xiaochun Yang 1
Yaoshu Wang 1
Mehdi Sharifzadeh 1
Giuseppe Polese 1
Qiang Zhu 1
Gang Qian 1
Fragkiskos Pentaris 1
Robert Frankel 1
Glenn Thomas 1
Larry Kerschberg 1
Yinan Li 1
Boduo Li 1
Yael Amsterdamer 1
Gerald Popek 1
Antonio Furtado 1
Milena Ivanova 1
Niels Nes 1
Radu Berinde 1
Henryk Woźniakowski 1
Yishan Jiao 1
Renée Miller 1
Hicham Elmongui 1
Martin Ester 1
Grant Wang 1
Kithung Cheng 1
Mika Miyagishima 1
Fumio Suzuki 1
H Hartson 1
Robert Hartmann 1
Jane Fedorowicz 1
Janet Kolodner 1
WenChin Chen 1
Johannes Gehrke 1
Daniel Lemire 1
Vicky Papavasileiou 1
Divyakant Agrawal 1
Gabriel Ghinita 1
Saitung On 1
Marc Denecker 1
Stuart Madnick 1
Henry Anderson 1
Yifei Lu 1
Jeff Phillips 1
César Galindo-Legaria 1
Scott Shenker 1
Alessandro Campi 1
Selma Özel 1
Silvia Chiusano 1
Songting Chen 1
Charu Aggarwal 1
H Du 1
Umar Minhas 1
Ning Ruan 1
Vasilis Vassalos 1
François Bancilhon 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
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IBM 21
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Politecnico di Milano 34
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IBM Almaden Research Center 93

ACM Transactions on Database Systems (TODS)
Archive


2016
Volume 41 Issue 3, July 2016  Issue-in-Progress
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
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2014
Volume 39 Issue 4, December 2014 Invited Articles Issue, SIGMOD 2013, PODS 2013 and ICDT 2013
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2013
Volume 38 Issue 4, November 2013 Invited papers issue
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2012
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2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
Volume 29 Issue 4, December 2004
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2003
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2002
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2001
Volume 26 Issue 4, December 2001
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2000
Volume 25 Issue 4, Dec. 2000
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1999
Volume 24 Issue 4, Dec. 1999
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1998
Volume 23 Issue 4, Dec. 1998
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1997
Volume 22 Issue 4, Dec. 1997
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1996
Volume 21 Issue 4, Dec. 1996
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1995
Volume 20 Issue 4, Dec. 1995
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1994
Volume 19 Issue 4, Dec. 1994
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1993
Volume 18 Issue 4, Dec. 1993
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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
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Volume 16 Issue 2, June 1991
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1990
Volume 15 Issue 4, Dec. 1990
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Volume 15 Issue 2, June 1990
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1989
Volume 14 Issue 4, Dec. 1989
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1988
Volume 13 Issue 4, Dec. 1988
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1987
Volume 12 Issue 4, Dec. 1987
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1986
Volume 11 Issue 4, Dec. 1986
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1985
Volume 10 Issue 4, Dec. 1985
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1984
Volume 9 Issue 4, Dec. 1984
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Volume 9 Issue 1, March 1984

1983
Volume 8 Issue 4, Dec. 1983
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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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