Broad Learning Through Fusions
An Application on Social Networks
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Beschreibung
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.
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.
This book provides an introduction to broad learning, focusing on the fundamental concepts, learning tasks, and methodologies to build learning models for data fusion, and knowledge discovery. It examines how the introduced broad learning approaches can be applied for effective data fusion and knowledge discovery on online social networks. The book Introduces the social network alignment task and learning algorithms based on three different learning settings. It provides a comprehensive introduction to the several well-known knowledge discovery problems with the fused information from multiple online social networks
Autor*in
Jiawei Zhang
Themen in »Broad Learning Through Fusions«
data mining machine learning fusion learning social networks network alignment data structures