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100   $a20150707d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aOperators for Similarity Search $eSemantics, Techniques and Usage Scenarios /$fby Deepak P, Prasad M. Deshpande
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (122 p.)
225 1 $aSpringerBriefs in Computer Science,$x2191-5768
300   $aDescription based upon print version of record.
311   $a3-319-21256-7 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $a1 Introduction -- 2 Fundamentals of Similarity Search -- 3 Common Similarity Search Operators -- 4 Categorizing Operators -- 5 Advanced Operators for Similarity Search -- 6 Indexing for Similarity Search Operators -- 7 The Road Ahead.
330   $aThis book provides a comprehensive tutorial on similarity operators. The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively. The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems. This is followed by a systematic categorized overview of the variety of similarity operators that have been proposed in literature over the last two decades, including advanced operators such as RkNN, Reverse k-Ranks, Skyline k-Groups and K-N-Match. Since indexing is a core technology in the practical implementation of similarity operators, various indexing mechanisms are summarized. Finally, current research challenges are outlined, so as to enable interested readers to identify potential directions for future investigations. In summary, this book offers a comprehensive overview of the field of similarity search operators, allowing readers to understand the area of similarity operators as it stands today, and in addition providing them with the background needed to understand recent novel approaches.
410  0$aSpringerBriefs in Computer Science,$x2191-5768
606   $aInformation storage and retrieval
606   $aComputer science?Mathematics
606   $aArtificial intelligence
606   $aData mining
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aInformation storage and retrieval.
615  0$aComputer science?Mathematics.
615  0$aArtificial intelligence.
615  0$aData mining.
615 14$aInformation Storage and Retrieval.
615 24$aDiscrete Mathematics in Computer Science.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
676   $a006.312
700   $aP$b Deepak$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060962
702   $aDeshpande$b Prasad M$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299254003321
996   $aOperators for Similarity Search$92516485
997   $aUNINA