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Top-k selection queries over relational databases: Mapping strategies and performance evaluation
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
In many applications, users specify target values for certain attributes, without requiring exact matches to these values in return. Instead, the result to such queries is typically a rank of the "top k" tuples that best match the given...
Locally adaptive dimensionality reduction for indexing large time series databases
Kaushik Chakrabarti, Eamonn Keogh, Sharad Mehrotra, Michael Pazzani
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data. The most promising solutions involve performing dimensionality...