Social Big Data Mining

Sommario

Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

Info autore

Hiroshi Ishikawa

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 expla

Dettagli sul prodotto

• Autori: Hiroshi Ishikawa, Hiroshi (Tokyo Metropolitan University Ishikawa
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.12.2020
• EAN: 9780367738426
• ISBN: 978-0-367-73842-6
• Pagine: 268
• Categorie: Scienze sociali, diritto, economia > Sociologia; Sociology, SOCIAL SCIENCE / Sociology / General, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Automation, Electronics engineering, Automatic control engineering, Databases, COMPUTERS / Database Administration & Management, Databases / Data management