| 书目名称 | Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques |
| 编辑 | Evangelos Triantaphyllou,Giovanni Felici |
| 视频video | |
| 概述 | Provides a unique perspective into the core of data mining and knowledge discovery (DM and KD), combining many theoretical foundations for the behavior and capabilities of various DM and KD methods.In |
| 丛书名称 | Massive Computing |
| 图书封面 |  |
| 描述 | 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 6. 3 On the Minimum Clique Cover of the Rej ectability Graph 76 7. Problem Decomposition 77 7. 1 Connected Components 77 7. 2 Clique Cover 78 8. An Example of Using the Rejectability Graph 79 9. Conclusions 82 References 83 Author‘s Biographical Statement 87 Chapter 3 AN INCREMENTAL LEARNING ALGORITHM FOR INFERRING LOGICAL RULES FROM EXAMPLES IN THE FRAMEWORK OF THE COMMON REASONING PROCESS, by X. Naidenova 89 1. Introduction 90 2. A Model of Rule-Based Logical Inference 96 2. 1 Rules Acquired from Experts or Rules of the First Type 97 2. 2 Structure of the Knowledge Base 98 2. 3 Reasoning Operations for Using Logical Rules of the Fir |
| 出版日期 | Book 2006 |
| 关键词 | BAYES; Data mining; Knowledge discovery; LA; Pattern Recognition; Rule induction; STATISTICA |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-34296-6 |
| isbn_softcover | 978-1-4419-4173-2 |
| isbn_ebook | 978-0-387-34296-2Series ISSN 1569-2698 Series E-ISSN 2468-8738 |
| issn_series | 1569-2698 |
| copyright | Springer-Verlag US 2006 |
发表于 2025-3-21 20:02:39
