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Titlebook: String Processing and Information Retrieval; 17th International S Edgar Chavez,Stefano Lonardi Conference proceedings 2010 Springer Berlin

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书目名称String Processing and Information Retrieval
副标题17th International S
编辑Edgar Chavez,Stefano Lonardi
视频videohttp://file.papertrans.cn/880/879711/879711.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: String Processing and Information Retrieval; 17th International S Edgar Chavez,Stefano Lonardi Conference proceedings 2010 Springer Berlin
描述This book constitutes the proceedings of the 17th International Symposium on String Processing and Information Retrieval, SPIRE 2010, held in Los Cabos, Mexico, in October 2010..The 26 long and 13 short papers presented were carefully reviewed and selected from 109 submissions. The volume also contains 2 invited talks. The papers are structured in topical sections on crowdsourcing and recommendation; indexes and compressed indexes; theory; string algorithms; compressions; querying and search user experience; document analysis and comparison; compressed indexes; and string matching..
出版日期Conference proceedings 2010
关键词Scoring; Shortest Common Superstring; algorithms; collaborative filtering; digital libraries; filtering; f
版次1
doihttps://doi.org/10.1007/978-3-642-16321-0
isbn_softcover978-3-642-16320-3
isbn_ebook978-3-642-16321-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
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Compressed Self-indices Supporting Conjunctive Queries on Document Collectionsbits of space, such that a conjunctive query .. ∧ ⋯ ∧ .. can be answered in .(.loglog|Σ|) adaptive time, where . is the instance difficulty of the query, as defined by Barbay and Kenyon in their SODA’02 paper, and ..(.) is the empirical entropy of order 0 of .. As a comparison, using an inverted ind
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Why Large , Instances Are Easy to Solve in Practicetimization version of the . problem and give a randomized algorithm, we refer to as ., that computes the closest string on smoothed instances up to a constant factor approximation in time .(ℓ.), where ℓ is the string length. Using smoothed analysis, we prove . achieves a .-approximation guarantee, w
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