| 书目名称 | Mining and Analyzing Social Networks |
| 编辑 | I-Hsien Ting,Hui-Ju Wu,Tien-Hwa Ho |
| 视频video | |
| 概述 | Recent research on Mining and Analyzing Social Networks.Written by leading experts in this field.State-of-the-Art Book |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the data. In recent year, due to the growth of social communications and social networking websites, data mining becomes a very important and powerful technique to process and analyze such large amount of data. Thus, this book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that presented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book. The chapters of this book are introduced as follows: In chapter 1-Graph Model for Pattern Recognition in Text, Qin Wu et al. present a novel approach that uses a weighted directed multigraph for text pattern recognition. In the proposed |
| 出版日期 | Book 2010 |
| 关键词 | Computational Intelligence; Marketing; Mining Social Networks; Social Networks; cognition; learning; model |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-13422-7 |
| isbn_softcover | 978-3-642-26349-1 |
| isbn_ebook | 978-3-642-13422-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2010 |
发表于 2025-3-21 19:19:30
