| Physical description |
xxvi, 371 pages : illustrations ; 24 cm |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. What's it all about? -- 2. Input: Concepts, instances, attributes -- 3. Output: Knowledge representation -- 4. Algorithms: The basic methods -- 5. Credibility: Evaluating what's been learned -- 6. Implementations: Real machine learning schemes -- 7. Moving on: Engineering the input and output -- 8. Nuts and bolts: Machine learning algorithms in Java -- 9. Looking forward. |
| Summary |
"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."--BOOK JACKET. |
| Other author |
Frank, Eibe.
|
| Subject |
Data mining.
|
|
Java (Computer program language)
|
| ISBN |
1558605525 |
|
