正在查找有这资料的图书馆...详细书目
| 材料类型： | 互联网资源 |
|---|---|
| 文件类型： | 书, 互联网资源 |
| 所有的著者/提供者： |
I H Witten; Eibe Frank |
| ISBN: | 0120884070 9780120884070 |
| OCLC号码： | 58451668 |
| 描述： | xxxi, 525 p. : ill. ; 24 cm. |
| 内容： | Pt. I. Machine learning tools and techniques. What's it all about? -- Input : concepts, instances, and attributes -- Output : knowledge representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned -- Implementations : real machine learning schemes -- Transformations : engineering the input and output -- Moving on : extensions and applications -- Pt. II. The Weka machine learning workbench. Introduction to Weka -- The Explorer -- The Knowledge Flow interface -- The Experimenter -- The command-line interface -- Embedded machine learning -- Writing new learning schemes. |
| 丛书名： | Morgan Kaufmann series in data management systems. |
| 责任： | Ian H. Witten, Eibe Frank. |
| 更多信息： |
标签
添加标签 目的是为 "Data mining : practical machine learning tools and techniques".
争取是第一个！
相似资料
相关主题：(9)
- Data mining.
- Exploration de données (Informatique)
- Java (programmeertaal)
- Machine-learning.
- Algoritmen.
- Descoberta de conhecimento.
- Mineração de dados.
- Maschinelles Lernen.
- Data Mining.
这资料的用户列表 (4)
- Things to Check Out(4 资料)
由 khk3876 已更新 大约三周前
- Things to Check Out(15 资料)
由 dnugent 已更新 2010-08-25
- eCRM(5 资料)
由 koinnee 已更新 2009-06-20
- Things to Check Out(59 资料)
由 mareyes