数据挖掘
Data mining
I. H. Witten、Ian H. Witten、Eibe Frank · 初版 1999 年
9人推荐
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为什么值得读
- 数学门槛相对较低且讲解严谨清晰
- 结合作者自研的Weka工具指导实践应用
- 适合作为数据挖掘与机器学习的入门背景读物
本书不仅奠定了 machine learning 概念的坚实基础，还就如何在实际的 data mining 场景中应用 machine learning 工具和技术提供了实用建议。在书中，你将全面了解准备输入、解释输出、评估结果所需的所有知识，以及构成成功 data mining 核心的算法方法——既包括过去行之有效的方法，也包括当代前沿研究所基于的 Java 方法。如果你在任何层面上参与了从海量数据中提取可用知识的工作，这本清晰
Hacker News 上怎么说
正在加载完整评论……
……楼主：你是想问基础的 tf-idf 是怎么运作的，还是说有什么功能是你在 lucene / SOLR / sphinx / tsearch 里搞不定的？不管怎样，这里有一些不错的背景资料（在亚马逊上搜“数据挖掘” http://www.amazon.com/gp/product/1584504609 http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... 另外 Satnam Alag 写的《集体智慧编程》（Collective intelligence）也相当不错（需要硬啃不少 Java 代码……
…OP: Are you asking how basic tf-idf works, or is there something you can't get lucene / SOLR / sphinx / tsearch to do easily? nevertheless, here are some good background materials (search amazon on "data mining" http://www.amazon.com/gp/product/1584504609 http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... Also the Collective intelligence by Satnam alag is quite good (a lot of java code to wade…
如果你想找一本“数学少一点”的机器学习书，我喜欢这两本：Ian H. Witten、Eibe Frank、Mark A. Hall 编著的《数据挖掘：实用机器学习工具与技术》（第三版）http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... 还有《机器学习：算法视角》……
If you want a "less math" machine learning book, I like these two: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition Ian H. Witten, Eibe Frank, Mark A. Hall http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... Machine Learning: An Algorithmic…
……对于那些还没有扎实数学背景的人，推荐的书还有 James 等人的《统计学习导论》（Intro Statistical Learning）、Peter Flach 和 Steven Marsland 的书，以及 Witten/Franke 合著的：http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... http://www.amazon.com/Machine-Learning-Algorithmic-Perspecti...
…also some books for people who haven't the rigorous math background yet are Intro Statistical Learning (James et al), the ones by Peter Flach, Steven Marsland, and Witten/Franke: http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... http://www.amazon.com/Machine-Learning-Algorithmic-Perspecti...
其他几本很有帮助的书：- Witten 和 Franke 写的《数据挖掘》；严谨地介绍了基础知识，包括如何使用他们编写的 Weka http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... Manning 出版的两本基于 Java 的书：……
some other helpful books: - Data Mining, by Witten and Franke; describes basics with rigor, including how to use Weka, which they wrote http://www.amazon.com/Data-Mining-Practical-Techniques-Manag... a couple java-based books from Manning:…
我建议从 Weka 和这本好书开始入门：http://www.amazon.com/Data-Mining-Practical-Techniques-Manag...
I recommend starting with weka and this great book: http://www.amazon.com/Data-Mining-Practical-Techniques-Manag...
……只要一件事不涉及 HTTP、当前正火的编程语言、JavaScript 或者是关系型数据库（其实基本就是 MySQL 或者可能还有 Postgres），就觉得搞不出名堂。如果你想找一本偏实操的数据挖掘入门书，我能不能推荐 Witten 和 Frank 的《数据挖掘：实用机器学习工具与技术》？它通篇都使用 Weka，这个工具很成熟也很棒。
…something if it doesn't involve HTTP, a programming language that's currently en vogue, JavaScript, or relational databases (really only MySQL or maybe Postgres). If you're interested in an introductory data mining book with a practical focus, may I instead suggest Witten and Frank's "Data Mining: Practical Machine Learning Tools and Techniques"? It uses Weka throughout, which is mature and nice.