Broad Learning Through Fusions : An Application on Social Networks
2019 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
3030125270
ISBN-13
9783030125271
Edition
2019 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Jun 28th, 2019
Print length
419 Pages
Weight
942 grams
Dimensions
18.80 x 26.40 x 3.00 cms
Product Classification:
Probability & statisticsProbability and statisticsDigital and Information technology: general topicsInformation technology: general issuesDatabasesDatabases / Data managementData miningMaths for computer scientistsArtificial intelligenceArtificial intelligence (AI)Expert systems / knowledge-based systems
Ksh 8,100.00
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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.
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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