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Dynamic Signature File Partitioning Based on Term Characteristics

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dc.contributor.author Aktug, Deniz en_US
dc.contributor.author Can, Fazli en_US
dc.date.accessioned 2008-07-22T19:31:39Z en_US
dc.date.accessioned 2013-07-10T15:06:34Z
dc.date.available 2008-07-22T19:31:39Z en_US
dc.date.available 2013-07-10T15:06:34Z
dc.date.issued 1992-08-01 en_US
dc.date.submitted 2008-03-17 en_US
dc.identifier.uri
dc.identifier.uri http://hdl.handle.net/2374.MIA/244 en_US
dc.description.abstract Signature files act as a filter on retrieval to discard a large number of non-qualifying data items. Linear hashing with superimposed signatures (LHSS) provides an effective retrieval filter to process queries in dynamic databases. This study is an analysis of the effects of reflecting the term query and occurrence characteristics to signatures in LHSS. This approach relaxes the unrealistic uniform frequency assumption and lets the terms with high discriminatory power set more bits in signatures. The simulation experiments based on the derived formulas show that incorporating the term characteristics in LHSS improves retrieval efficiency. The paper also discusses the further benefits of this approach to alleviate the potential imbalance between the levels of efficiency and relevancy. en_US
dc.title Dynamic Signature File Partitioning Based on Term Characteristics en_US
dc.type Text en_US
dc.type.genre Report en_US


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