Data mining
Work detail
"This book 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. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--Jacket.
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Contributors
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- Open Author
James Foulds
- Open Author
Christopher J. Pal
- Open Author
Ian H. Witten
- Open Author
Eibe Frank
- Open Author
Mark A. Hall
- Open Author
Hall, Mark A.
- Open Author
I. H. Witten
- Open Author
Christopher Pal
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Data mining
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Data Mining
1 views - DMData MiningJames Foulds, Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
Data Mining
- DMData MiningIan H. Witten, Eibe Frank, Hall, Mark A., Christopher Pal
Data Mining
- DMData MiningIan H. Witten, Eibe Frank, Hall, Mark A.
Data Mining
- DMData MiningIan H. Witten, Eibe Frank
Data Mining
- DMData MiningIan H. Witten, Eibe Frank
Data Mining