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- 268 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Social Big Data Mining
Book details
Table of contents
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About This Book
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
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Yes, you can access Social Big Data Mining by Hiroshi Ishikawa in PDF and/or ePUB format, as well as other popular books in Informatik & Data Mining. We have over one million books available in our catalogue for you to explore.
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Table of contents
- 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 Data
- Appendix II Remarks on Relationships Among Structure-, Content-, and Access Log Mining Techniques
- Color Plate Section
- Back Cover