Data Mining Concepts and Techniques — Slides for Textbo:数据挖掘的概念和技术,对教科书的幻灯片.ppt

Data Mining Concepts and Techniques — Slides for Textbo:数据挖掘的概念和技术,对教科书的幻灯片.ppt

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Data Mining Concepts and Techniques — Slides for Textbo:数据挖掘的概念和技术,对教科书的幻灯片

Data Mining: Concepts and Techniques Data Mining: Concepts and Techniques — Slides for Textbook — — Chapter 1 — ?Jiawei Han and Micheline Kamber Department of Computer Science University of Illinois at Urbana-Champaign /~hanj Data Mining: Concepts and Techniques Acknowledgements This set of slides started with Han’s tutorial for UCLA Extension course in February 1998 Other subsequent contributors: Dr. Hongjun Lu (Hong Kong Univ. of Science and Technology) Graduate students from Simon Fraser Univ., Canada, notably Eugene Belchev, Jian Pei, and Osmar R. Zaiane Graduate students from Univ. of Illinois at Urbana-Champaign CS497JH Schedule (Fall 2002) Chapter 1. Introduction {W1:L1} Chapter 2. Data pre-processing {W4: L1-2} Homework # 1 distribution (SQLServer2000) Chapter 3. Data warehousing and OLAP technology for data mining {W2:L1-2, W3:L1-2} Homework # 2 distribution Chapter 4. Data mining primitives, languages, and system architectures {W5: L1} Chapter 5. Concept description: Characterization and comparison {W5: L2, W6: L1} Chapter 6. Mining association rules in large databases {W6:L2, W7:L1-L21, W8: L1} Homework #3 distribution Chapter 7. Classification and prediction {W8:L2, W9: L2, W10:L1} Midterm {W9: L1} Chapter 8. Clustering analysis {W10:L2, W11: L1-2} Homework #4 distribution Chapter 9. Mining complex types of data {W12: L1-2, W13:L1-2} Chapter 10. Data mining applications and trends in data mining {W14: L1} Research/Development project presentation (W14-W15 + final exam period) Final Project Due Where to Find the Set of Slides? Book page: (MS PowerPoint files): /~hanj/dmbook Updated course presentation slides (.ppt): /~cs497jh/ Research papers, DBMiner system, and other related information: /~hanj or Chapter 1. Introduction Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Are all the patterns interesting? Classification of data mining systems Major issues in data mining Necessity I

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