Introduction to Data Mining and its Applications by S. Sumathi   
（谨作为学习使用，若为他用，后果自负！）

Publisher: Springer; 1 edition (November 14, 2006) Language: English ISBN-10: 3540343504 ISBN-13: 978-3540343509
Amazon：http://www.amazon.com/Introduction-Applications-Studies-Computational-Intelligence/dp/3540343504/ref=sr_1_1?ie=UTF8&s=books&qid=1250838016&sr=8-1

1 Introduction to Data Mining Principles . . . . . . . . . . . . . . . . . . . . 1
1.1 Data Mining and Knowledge Discovery. . . . . . . . . . . . . . . . . . . . 2
1.2 Data Warehousing and Data Mining - Overview . . . . . . . . . . . . 5
1.2.1 Data Warehousing Overview . . . . . . . . . . . . . . . . . . . . . 7
1.2.2 Concept of Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
1.4 Review Questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
2 Data Warehousing, Data Mining, and OLAP . . . . . . . . . . . . . . . 21
2.1 Data Mining Research Opportunities and Challenges . . . . . . . . 23
2.1.1 Recent Research Achievements . . . . . . . . . . . . . . . . . . . 25
2.1.2 Data Mining Application Areas . . . . . . . . . . . . . . . . . . . 27
2.1.3 Success Stories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.1.4 Trends that Affect Data Mining . . . . . . . . . . . . . . . . . . 30
2.1.5 Research Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
2.1.6 Test Beds and Infrastructure . . . . . . . . . . . . . . . . . . . . . 33
2.1.7 Findings and Recommendations . . . . . . . . . . . . . . . . . . 33
2.2 Evolving Data Mining into Solutions for Insights . . . . . . . . . . . 35
2.2.1 Trends and Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . 36
2.3 Knowledge Extraction Through Data Mining . . . . . . . . . . . . . . 37
2.3.1 Data Mining Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
2.3.2 Operational Aspects . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
2.3.3 The Need and Opportunity for Data Mining . . . . . . . 51
2.3.4 Data Mining Tools and Techniques. . . . . . . . . . . . . . . . 52
2.3.5 Common Applications of Data Mining . . . . . . . . . . . . . 55
2.3.6 What about Data Mining in Power Systems? . . . . . . . 56
2.4 Data Warehousing and OLAP . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
2.4.1 Data Warehousing for Actuaries . . . . . . . . . . . . . . . . . . 57
2.4.2 Data Warehouse Components . . . . . . . . . . . . . . . . . . . . 58
2.4.3 Management Information . . . . . . . . . . . . . . . . . . . . . . . . 59
2.4.4 Profit Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
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