| 期刊全称 | Broad Learning Through Fusions | | 期刊简称 | An Application on So | | 影响因子2023 | Jiawei Zhang,Philip S. Yu | | 视频video | | | 发行地址 | This book provides an introduction to broad learning, focusing on the fundamental concepts, learning tasks, and methodologies to build learning models for data fusion, and knowledge discovery..It exam | | 图书封面 |  | | 影响因子 | 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.. | | Pindex | Textbook 2019 |
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发表于 2025-3-21 17:04:23
