Data mining : practical machine learning tools and techniques /
Witten, I. H.,
Data mining : practical machine learning tools and techniques / - Fourth Edition. - xxxii, 621 pages : illustrations ; 24 cm
Includes bibliographical references and index.
Part I: Introduction to data mining -- Chapter 1. What’s it all about? -- Chapter 2. Input: Concepts, instances, attributes -- Chapter 3. Output: Knowledge representation -- Chapter 4. Algorithms: The basic methods -- Chapter 5. Credibility: Evaluating what’s been learned -- Part II. More advanced machine learning schemes -- Chapter 6. Trees and rules -- Chapter 7. Extending instance-based and linear models -- Chapter 8. Data transformations -- Chapter 9. Probabilistic methods -- Chapter 10. Deep learning -- Chapter 11. Beyond supervised and unsupervised learning -- Chapter 12. Ensemble learning -- Chapter 13. Moving on: applications and beyond -- References -- Index.
9780128042915
Data mining.
006.312 / WID
Data mining : practical machine learning tools and techniques / - Fourth Edition. - xxxii, 621 pages : illustrations ; 24 cm
Includes bibliographical references and index.
Part I: Introduction to data mining -- Chapter 1. What’s it all about? -- Chapter 2. Input: Concepts, instances, attributes -- Chapter 3. Output: Knowledge representation -- Chapter 4. Algorithms: The basic methods -- Chapter 5. Credibility: Evaluating what’s been learned -- Part II. More advanced machine learning schemes -- Chapter 6. Trees and rules -- Chapter 7. Extending instance-based and linear models -- Chapter 8. Data transformations -- Chapter 9. Probabilistic methods -- Chapter 10. Deep learning -- Chapter 11. Beyond supervised and unsupervised learning -- Chapter 12. Ensemble learning -- Chapter 13. Moving on: applications and beyond -- References -- Index.
9780128042915
Data mining.
006.312 / WID