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Broad Learning Through Fusions
- An Application on Social Networks
Engelsk Hardback
Broad Learning Through Fusions
- An Application on Social Networks
Engelsk Hardback

478 kr
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Om denne bog
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.

Product detaljer
Sprog:
Engelsk
Sider:
419
ISBN-13:
9783030125271
Indbinding:
Hardback
Udgave:
ISBN-10:
3030125270
Udg. Dato:
28 jun 2019
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
28 jun 2019
Forfatter(e):
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