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|Title:||Consistent top-k queries over time||Authors:||Lee, M.L.
|Issue Date:||2009||Citation:||Lee, M.L.,Hsu, W.,Li, L.,Tok, W.H. (2009). Consistent top-k queries over time. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5463 : 51-65. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-00887-0_5||Abstract:||Top-k queries have been well-studied in snapshot databases and data streams. We observe that decision-makers are often interested in a set of objects that exhibit a certain degree of consistent behavior over time. We introduce a new class of queries called consistent top-k to retrieve k objects that are always amongst the top at every time point over a specified time interval. Applying top-kmethods at each time point leads to large intermediate results and wasted computations. We design two methods, rank-based and bitmap, to address these shortcomings. Experiment results indicate that the proposed methods are efficient and scalable, and consistent top-k queries are practical in real world applications.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40954||ISBN:||9783642008863||ISSN:||03029743||DOI:||10.1007/978-3-642-00887-0_5|
|Appears in Collections:||Staff Publications|
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