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. Ed(S): Triantaphyllou, Evangelos; Felici, Giovanni - Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques - 9780387342948 - V9780387342948
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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

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Description for Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques Hardback. Outlines the core theory and practice of data mining and knowledge discovery, examining theoretical foundations for various methods. This book presents an array of examples, many drawn from real-life applications. Editor(s): Triantaphyllou, Evangelos; Felici, Giovanni. Series: Massive Computing. Num Pages: 796 pages, 6 black & white illustrations, 20 black & white tables, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 42. Weight in Grams: 1288.
2. Some Background Information 49 3. Definitions and Terminology 52 4. The One Clause at a Time (OCAT) Approach 54 4. 1 Data Binarization 54 4. 2 The One Clause at a Time (OCAT) Concept 58 4. 3 A Branch-and-Bound Approach for Inferring Clauses 59 4. 4 Inference of the Clauses for the Illustrative Example 62 4. 5 A Polynomial Time Heuristic for Inferring Clauses 65 5. A Guided Learning Approach 70 6. The Rejectability Graph of Two Collections of Examples 72 6. 1 The Definition of the Rej ectability Graph 72 6. 2 Properties of the Rejectability Graph 74 ... Read more

Product Details

Format
Hardback
Publication date
2006
Publisher
Springer-Verlag New York Inc. United States
Number of pages
796
Condition
New
Series
Massive Computing
Number of Pages
748
Place of Publication
New York, NY, United States
ISBN
9780387342948
SKU
V9780387342948
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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