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024 7 $a10.1007/978-0-387-36795-8$2doi
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037 $a978-0-387-33333-5$bSpringer$nhttp://www.springerlink.com
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245 00 $aData mining :$ba knowledge discovery approach /$cKrzysztof J. Cios [and others].
260 $aNew York ;$aNew York :$bSpringer,$c℗♭2007.
300 $a1 online resource (xv, 606 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
504 $aIncludes bibliographical references and index.
520 1 $a"This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects." "Based upon the authors' previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses."--Jacket.
588 0 $aPrint version record.
505 0 $aData Mining and Knowledge Discovery Process -- The Knowledge Discovery Process -- Data Understanding -- Data -- Concepts of Learning, Classification, and Regression -- Knowledge Representation -- Data Preprocessing -- Databases, Data Warehouses, and OLAP -- Feature Extraction and Selection Methods -- Discretization Methods -- Data Mining: Methods for Constructing Data Models -- Unsupervised Learning: Clustering -- Unsupervised Learning: Association Rules -- Supervised Learning: Statistical Methods -- Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids -- Supervised Learning: Neural Networks -- Text Mining -- Data Models Assessment -- Assessment of Data Models -- Data Security and Privacy Issues -- Data Security, Privacy and Data Mining.
546 $aEnglish.
650 0 $aData mining.
650 07 $aData mining.$2cct
650 7 $aInformatique.$2eclas
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
655 4 $aElectronic books.
700 1 $aCios, Krzysztof J.
776 08 $iPrint version:$tData mining.$dNew York ; New York : Springer, ℗♭2007$z0387333339$z9780387333335$w(DLC) 2007921581$w(OCoLC)71542991
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856 40 $3SpringerLink$uhttp://www.library.yorku.ca/eresolver/?id=1221718$zAn electronic book accessible through the World Wide Web; click for information
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