| 书目名称 | Knowledge Discovery in Multiple Databases |
| 编辑 | Shichao Zhang,Chengqi Zhang,Xindong Wu |
| 视频video | |
| 概述 | The only book that covers the emerging topic of multiple database mining.Focuses on developing new techniques for multi-database mining.Urgent need to analyse data in multi-databases as a great deal o |
| 丛书名称 | Advanced Information and Knowledge Processing |
| 图书封面 |  |
| 描述 | Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for re |
| 出版日期 | Book 2004 |
| 关键词 | Association rule; Data Mining; Database Classification; Framework; Multi Database Mining; algorithms; data |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-85729-388-6 |
| isbn_softcover | 978-1-4471-1050-7 |
| isbn_ebook | 978-0-85729-388-6Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
| issn_series | 1610-3947 |
| copyright | Springer-Verlag London 2004 |
发表于 2025-3-21 17:20:39
