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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Ian H. Witten, Eibe Frank · 4 HN comments
HN Books has aggregated all Hacker News stories and comments that mention "Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)" by Ian H. Witten, Eibe Frank.
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Amazon Summary
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.
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All the comments and stories posted to Hacker News that reference this book.
Sorry, I agree with the GP. This was a popular book for learning ML with Weka (which is still around): https://www.amazon.com/Data-Mining-Practical-Techniques-Mana...

There is also the Knowledge Discovery in Databases (KDD) term which is still around via: https://www.kdd.org/

I recommend starting with weka and this great book: http://www.amazon.com/Data-Mining-Practical-Techniques-Manag...
⬐
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:

- Collective Intelligence in Action (by Satnam Alag) and

- Algorithms of the Intelligen Web (Marmanis, Babenko)

-

spot on. 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 through tho

⬐ rneufeld
To be honest I hadn't even heard of tf-idf before you mentioned it. It is definitely not the case I am stepping beyond the bounds of something like sphinx.

I basically want to lay a bit of foundation before I start mucking around with something I have no idea about.

I have a couple e-books on Data Mining but I didn't think it was applicable. Are Data Mining and Search two things closely intertwined?

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