Broad learning through fusions : an application on social networks / Jiawei Zhang, Philip S. Yu.

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Broad learning through fusions : an application on social networks / Jiawei Zhang, Philip S. Yu.

9783030125288 (electronic book)
3030125289 (electronic book)
9783030125271

Cham, Switzerland : Springer, [2019]

English

1 online resource

10.1007/978-3-030-12

QA76.9.D343 Z43 2019

006.3/12

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.

Includes bibliographical references.

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Description based on online resource; title from digital title page (viewed on July 23, 2019).

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