Social big data mining

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 b...

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Detalles Bibliográficos
Otros Autores: Ishikawa, Hiroshi, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press 2015.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628942406719
Tabla de Contenidos:
  • 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