Amazon cover image
Image from Amazon.com

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

By: Witten, Ian HContributor(s): Frank, Eibe | Hall, Mark AMaterial type: TextTextSeries: [Morgan Kaufmann series in data management systems]Publication details: Burlington, MA Morgan Kaufmann cop. 2011 Edition: 3. edDescription: xxxiii, 629 p. ill. 24 cmISBN: 9780123748560 (pbk.)Subject(s): Data Mining | Data mining | Data mining | Data miningDDC classification: 006.312 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
Book (Same day loan) Gräsvik
Referens
006.3 Available 080041486716
Book (loan) Gräsvik
006.3 Checked out 2023-06-07 080041486715

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

Adress: Biblioteket, Blekinge Tekniska Högskola, 371 79 Karlskrona
Telefon: 0455 - 38 51 01
E-post: biblioteket@bth.se
Ansvarig för sidan: Biblioteket