Data Mining pdf epub mobi txt 电子书 下载 2026
- 数据挖掘
- 机器学习
- DataMining
- MachineLearning
- weka
- 计算机
- 计算机科学
- CS
- 数据挖掘
- 机器学习
- 数据分析
- 人工智能
- 统计学习
- 模式识别
- 大数据
- 算法
- 数据库
- 知识发现
具体描述
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
*Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
作者简介
目录信息
读后感
我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。 算法部分的介绍很详细。
评分国内教科书都是先进来源、历史、分类、发展、趋势等。外国人写的上来稍微介绍一下就像专业知识进军啦
评分作者不是Jiawei Han好嘛. 没读过写什么书评! 作者是怀卡托大学的Ian和Eibe, Weka的发明人. 没看过别瞎BB. 豆瓣写错author你们就顺杆爬有意思么...............................................................................................................................
评分我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。 算法部分的介绍很详细。
评分----------------------------------------- 外文教材， 外文参考书 请咨询 http://shop35575714.taobao.com ----------------------------------------
用户评价
weka
评分讲得很清楚, 就是WEKA讲得有点多, 还有为啥作者介绍是韩家炜?
评分= =
评分= =
评分数据挖掘入门书，比较实用Weka，讲解了数据挖掘相应的基础算法和理论。内容很多，建议直接读英文版。
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