| 書目名稱 | Foundations and Advances in Data Mining |
| 編輯 | Wesley Chu,Tsau Lin |
| 視頻video | http://file.papertrans.cn/347/346820/346820.mp4 |
| 概述 | Brings together well respected data mining theoreticians and researchers with practical data mining experiences.Presents a theoretical foundation.Presents important new directions for data-mining rese |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.. |
| 出版日期 | Book 2005 |
| 關(guān)鍵詞 | Analysis; Regression; classification; construction; data mining; learning; pattern mining; web mining; infor |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b104039 |
| isbn_softcover | 978-3-642-42538-7 |
| isbn_ebook | 978-3-540-32393-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
|Archiver|手機版|小黑屋|
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