Cantitate/Preț
Produs

Social Big Data Mining

Autor Hiroshi Ishikawa
en Limba Engleză Paperback – 18 dec 2020
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 while standing on academic bases.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 26254 lei  43-57 zile
  CRC Press – 18 dec 2020 26254 lei  43-57 zile
Hardback (1) 80345 lei  43-57 zile
  CRC Press – 25 mar 2015 80345 lei  43-57 zile

Preț: 26254 lei

Preț vechi: 38024 lei
-31% Nou

Puncte Express: 394

Preț estimativ în valută:
5024 5219$ 4174£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780367738426
ISBN-10: 0367738422
Pagini: 268
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.32 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Cuprins

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.

Descriere

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