Description

Book Synopsis


Trade Review
"...this volume is the most accessible introduction to data mining to appear in recent years. It is worthy of a fourth edition." --Computing Reviews

Table of Contents
Part I: Introduction to data mining 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 Part II. More advanced machine learning schemes 6. Trees and rules 7. Extending instance-based and linear models 8. Data transformations 9. Probabilistic methods 10. Deep learning 11. Beyond supervised and unsupervised learning 12. Ensemble learning 13. Moving on: applications and beyond

Data Mining

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    A Paperback / softback by Ian H. Witten, Eibe Frank, Mark A. Hall

    £52.24

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    Order before 4pm tomorrow for delivery by Sat 24 Oct 2026.

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      Book details

      Publisher Elsevier Science & Technology
      Published 20 December 2016
      ISBN-13 9780128042915
      978-0128042915
      ISBN-10 0128042915

      Description

      Book Synopsis


      Trade Review
      "...this volume is the most accessible introduction to data mining to appear in recent years. It is worthy of a fourth edition." --Computing Reviews

      Table of Contents
      Part I: Introduction to data mining 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 Part II. More advanced machine learning schemes 6. Trees and rules 7. Extending instance-based and linear models 8. Data transformations 9. Probabilistic methods 10. Deep learning 11. Beyond supervised and unsupervised learning 12. Ensemble learning 13. Moving on: applications and beyond

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