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books
| book details |
Broad Learning Through Fusions: An Application on Social Networks
By (author) Jiawei Zhang, By (author) Philip S. Yu
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| on special |
normal price: R 1 730.95
Price: R 1 644.95
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| book description |
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 details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 14 Aug 2020
Language |
Format | Paperback / softback
Pages | 419
Dimensions | 254 x 178 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0301-2530-1
Readership Age |
BISAC | computers / database management / data mining
| other options |
Normally shipped |
Readership Age |
Normal Price | R 2 192.95
Price | R 2 083.95
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Katie Daysh
Paperback / softback
384 pages
was: R 295.95
now: R 259.95
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