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Introduction to Data Mining and its Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Data Mining Principles
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    Chapter 2 Data Warehousing, Data Mining, and OLAP
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    Chapter 3 Data Marts and Data Warehouse
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    Chapter 4 Evolution and Scaling of Data Mining Algorithms
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    Chapter 5 Emerging Trends and Applications of Data Mining
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    Chapter 6 Data Mining Trends and Knowledge Discovery
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    Chapter 7 Data Mining Tasks, Techniques, and Applications
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    Chapter 8 Data Mining: an Introduction – Case Study
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    Chapter 9 Data Mining & KDD
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    Chapter 10 Statistical Themes and Lessons for Data Mining
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    Chapter 11 Theoretical Frameworks for Data Mining
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    Chapter 12 Major and Privacy Issues in Data Mining and Knowledge Discovery
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    Chapter 13 Active Data Mining
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    Chapter 14 Decomposition in Data Mining - A Case Study
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    Chapter 15 Data Mining System Products and Research Prototypes
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    Chapter 16 Data Mining in Customer Value and Customer Relationship Management
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    Chapter 17 Data Mining in Business
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    Chapter 18 Data Mining in Sales Marketing and Finance
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    Chapter 19 Banking and Commercial Applications
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    Chapter 20 Data Mining for Insurance
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    Chapter 21 Data Mining in Biomedicine and Science
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    Chapter 22 Text and Web Mining
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    Chapter 23 Data Mining in Information Analysis and Delivery
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    Chapter 24 Data Mining in Telecommunications and Control
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    Chapter 25 Data Mining in Security
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