Broad Learning Through Fusions (e-bog) af Yu, Philip S.
Yu, Philip S. (forfatter)

Broad Learning Through Fusions e-bog

436,85 DKK (inkl. moms 546,06 DKK)
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...
E-bog 436,85 DKK
Forfattere Yu, Philip S. (forfatter)
Forlag Springer
Udgivet 8 juni 2019
Genrer Probability and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783030125288
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.