Broad Learning Through Fusions
An Application on Social Networks
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
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