Broad Learning Through Fusions

Download or read book Broad Learning Through Fusions written by Jiawei Zhang and published by Springer. This book was released on 2019-06-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.