Vai al contenuto principale della pagina

Social big data mining / / Hiroshi Ishikawa, Dr. Sci. Prof., information and communication systems, Faculty of system design, Tokyo Metropolitan University, Tokyo, Japan



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Ishikawa Hiroshi <1941, > Visualizza persona
Titolo: Social big data mining / / Hiroshi Ishikawa, Dr. Sci. Prof., information and communication systems, Faculty of system design, Tokyo Metropolitan University, Tokyo, Japan Visualizza cluster
Pubblicazione: Boca Raton, Florida : , : CRC Press, , [2015]
©2015
Edizione: 1st edition
Descrizione fisica: 1 online resource (264 p.)
Disciplina: 005.74
Soggetto topico: Big data
Data mining
User-generated content
Note generali: A Science Publishers book.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Front 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
Appendix 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
Sommario/riassunto: This 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
Titolo autorizzato: Social big data mining  Visualizza cluster
ISBN: 0-429-06819-0
1-78539-821-0
1-4987-1094-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910788163103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui