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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£52.24

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Order before 4pm today for delivery by Wed 17 Dec 2025.

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

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    View other formats and editions of Data Mining by Ian H. Witten

    Publisher: Elsevier Science & Technology
    Publication Date: 20/12/2016
    ISBN13: 9780128042915, 978-0128042915
    ISBN10: 0128042915
    Also in:
    Computing Databases / Data management Digital and IT general topics Enterprise software

    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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