Description: Broad Learning Through Fusions : An Application on Social Networks, Paperback by Zhang, Jiawei; Yu, Philip S., ISBN 3030125300, ISBN-13 9783030125301, Like New Used, Free shipping in the US 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.
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Book Title: Broad Learning Through Fusions : An Application on Social Network
Number of Pages: Xv, 419 Pages
Language: English
Publication Name: Broad Learning Through Fusions : an Application on Social Networks
Publisher: Springer International Publishing A&G
Publication Year: 2020
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Type: Textbook
Item Weight: 29.1 Oz
Item Length: 10 in
Subject Area: Mathematics, Computers
Author: Philip S. Yu, Jiawei Zhang
Item Width: 7 in
Format: Trade Paperback
