LEADER 03133oam 2200613I 450 001 9910808375503321 005 20170821163155.0 010 $a0-429-06819-0 010 $a1-78539-821-0 010 $a1-4987-1094-8 024 7 $a10.1201/b18223 035 $a(CKB)2670000000601141 035 $a(EBL)1755926 035 $a(SSID)ssj0001495902 035 $a(PQKBManifestationID)11886920 035 $a(PQKBTitleCode)TC0001495902 035 $a(PQKBWorkID)11485009 035 $a(PQKB)11599919 035 $a(MiAaPQ)EBC1755926 035 $a(OCoLC)904755680 035 $a(CaSebORM)9781498710930 035 $a(EXLCZ)992670000000601141 100 $a20180331h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial big data mining /$fHiroshi Ishikawa, Dr. Sci. Prof., information and communication systems, Faculty of system design, Tokyo Metropolitan University, Tokyo, Japan 205 $a1st edition 210 1$aBoca Raton, Florida :$cCRC Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (264 p.) 300 $aA Science Publishers book. 311 $a1-4987-1093-X 311 $a1-336-19412-X 320 $aIncludes bibliographical references at the end of each chapters. 327 $aFront Cover; Preface; Contents; Chapter 1 Social Media; Chapter 2 Big Data and Social Data; Chapter 3 Hypotheses in the Era of Big Data; Chapter 4 Social Big Data Applications; Chapter 5 Basic Concepts in Data Mining; Chapter 6 Association Rule Mining; Chapter 7 Clustering; Chapter 8 Classification; Chapter 9 Prediction; Chapter 10 Web Structure Mining; Chapter 11 Web Content Mining; Chapter 12 Web Access Log Mining, Information Extraction, and Deep Web Mining; Chapter 13 Media Mining; Chapter 14 Scalability and Outlier Detection 327 $aAppendix I Capabilities and Expertise Required for Data Scientists in the Age of Big DataAppendix II Remarks on Relationships Among Structure-, Content-, and Access Log Mining Techniques; Color Plate Section; Back Cover 330 $aThis book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications whi 606 $aBig data 606 $aData mining 606 $aUser-generated content 615 0$aBig data. 615 0$aData mining. 615 0$aUser-generated content. 676 $a005.74 700 $aIshikawa$b Hiroshi$f1941,$01625403 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910808375503321 996 $aSocial big data mining$93960827 997 $aUNINA