LEADER 03256nam 2200697Ia 450 001 9910139364303321 005 20200520144314.0 010 $a9786612551369 010 $a9781282551367 010 $a1282551361 010 $a9780470689646 010 $a0470689641 010 $a9780470689653 010 $a047068965X 035 $a(CKB)2520000000006781 035 $a(EBL)496056 035 $a(OCoLC)815250653 035 $a(SSID)ssj0000343606 035 $a(PQKBManifestationID)11258957 035 $a(PQKBTitleCode)TC0000343606 035 $a(PQKBWorkID)10292237 035 $a(PQKB)11476616 035 $a(MiAaPQ)EBC496056 035 $a(Au-PeEL)EBL496056 035 $a(CaPaEBR)ebr10371950 035 $a(CaONFJC)MIL255136 035 $a(OCoLC)464582516 035 $a(FINmELB)ELB179013 035 $a(Perlego)2776885 035 $a(EXLCZ)992520000000006781 100 $a20100119d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aText mining $eapplications and theory /$fMichael W. Berry, Jacob Kogan 205 $a2nd ed. 210 $aHoboken, NJ $cJohn Wiley & Sons$d2010 215 $a1 online resource (223 p.) 300 $aDescription based upon print version of record. 311 08$a9780470749821 311 08$a0470749822 320 $aIncludes bibliographical references and index. 327 $aText Mining; Contents; List of Contributors; Preface; PART I TEXT EXTRACTION, CLASSIFICATION, AND CLUSTERING; 1 Automatic keyword extraction from individual documents; 2 Algebraic techniques for multilingual document clustering; 3 Content-based spam email classification using machine-learning algorithms; 4 Utilizing nonnegative matrix factorization for email classification problems; 5 Constrained clustering with k-means type algorithms; PART II ANOMALY AND TREND DETECTION; 6 Survey of text visualization techniques; 7 Adaptive threshold setting for novelty mining; 8 Text mining and cybercrime 327 $aPART III TEXT STREAMS9 Events and trends in text streams; 10 Embedding semantics in LDA topic models; Index 330 $aText Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine 606 $aData mining$vCongresses 606 $aNatural language processing (Computer science)$vCongresses 615 0$aData mining 615 0$aNatural language processing (Computer science) 676 $a006.3/12 700 $aBerry$b Michael W$092312 701 $aKogan$b Jacob$f1954-$057978 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139364303321 996 $aText mining$91993603 997 $aUNINA