• Data miningpractical machine learning tools and techniques.
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Data mining
    其他題名: practical machine learning tools and techniques.
    作者: Witten, I. H.
    其他作者: Hall, Mark A.
    出版者: Burlington, MA :Morgan Kaufmann,c2011.
    面頁冊數: 1 online resource (xxxiii, 629 p.) :ill.
    附註: Machine generated contents note: 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.
    標題: Data mining.
    電子資源: http://www.sciencedirect.com/science/book/9780123748560
    ISBN: 9780123748560 (electronic bk.)
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000000076866 電子館藏 1圖書 電子書 EB QA76.9.D343 W58 2011 c2011 一般使用(Normal) 在架 0
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