Jiawei Zhang

(Author)

Broad Learning Through Fusions: An Application on Social Networks (2019)Hardcover - 2019, 28 June 2019

Broad Learning Through Fusions: An Application on Social Networks (2019)
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Print Length
419 pages
Language
English
Publisher
Springer
Date Published
28 Jun 2019
ISBN-10
3030125270
ISBN-13
9783030125271

Description

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.

Product Details

Authors:
Jiawei ZhangPhilip S Yu
Book Edition:
2019
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
28 June 2019
Dimensions:
25.4 x 17.78 x 2.39 cm
ISBN-10:
3030125270
ISBN-13:
9783030125271
Language:
English
Location:
Cham
Pages:
419
Publisher:
Weight:
966.15 gm

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