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Broad Learning Through Fusions - An Application on Social Networks (Hardcover, 1st ed. 2019)
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Broad Learning Through Fusions - An Application on Social Networks (Hardcover, 1st ed. 2019)
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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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