Amazon cover image
Image from Amazon.com

Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall

By: Contributor(s): Material type: TextTextSeries: [Morgan Kaufmann series in data management systems]Publication details: Burlington, MA Morgan Kaufmann cop. 2011Edition: 3. edDescription: xxxiii, 629 p. ill. 24 cmISBN:
  • 9780123748560 (pbk.)
Subject(s): DDC classification:
  • 006.312 22
Other classification:
  • 006.3
  • Pud
Contents:
PART I: Machine Learning Tools and Techniques. Ch 1. What's It All About? Ch 2. Input: Concepts, Instances, Attributes. Ch 3. Output: Knowledge Representation. Ch 4. Algorithms: The Basic Methods. Ch 5. Credibility: Evaluating What's Been Learned. PART II: Advanced Data Mining.Ch 6. Implementations: Real Machine Learning Schemes. Ch 7. Data Transformation. Ch 8. Ensemble Learning. Ch 9. Moving On: Applications and Beyond. PART III: The Weka Data MiningWorkbench. Ch 10. Introduction to Weka. Ch 11. The Explorer. Ch 12. The Knowledge Flow Interface. Ch 13. The Experimenter. Ch 14 The Command-Line Interface. Ch 15. Embedded Machine Learning. Ch 16. Writing New Learning Schemes. Ch 17. Tutorial Exercises for the Weka Explorer
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book (Same day loan) Campus Karlskrona Referens 006.3 Available 080041486716
Book (loan) Campus Karlskrona 006.3 Available 080041486715
Total holds: 0

Includes bibliographical references and index

PART I: Machine Learning Tools and Techniques. Ch 1. What's It All About? Ch 2. Input: Concepts, Instances, Attributes. Ch 3. Output: Knowledge Representation. Ch 4. Algorithms: The Basic Methods. Ch 5. Credibility: Evaluating What's Been Learned. PART II: Advanced Data Mining.Ch 6. Implementations: Real Machine Learning Schemes. Ch 7. Data Transformation. Ch 8. Ensemble Learning. Ch 9. Moving On: Applications and Beyond. PART III: The Weka Data MiningWorkbench. Ch 10. Introduction to Weka. Ch 11. The Explorer. Ch 12. The Knowledge Flow Interface. Ch 13. The Experimenter. Ch 14 The Command-Line Interface. Ch 15. Embedded Machine Learning. Ch 16. Writing New Learning Schemes. Ch 17. Tutorial Exercises for the Weka Explorer

Address: Library, Blekinge Tekniska Högskola, 371 79 Karlskrona
Telephone: 0455 - 38 51 01
E-mail: biblioteket@bth.se
Responsible for page: Library