Description - Data Mining: Concepts and Techniques by Jiawei Han
7 3/4 X 9 7/16 in
1 Introduction
1 What Motivated Data Mining? Wh y Is It Important?
2 So, What Is Data Mining?
3 Dat a Mining--On What Kind of Data?
4 Data Mining Functionalities ?What Kinds of Patterns Can Be Mined?
5 Are All of the Patter ns Interesting?
6 Classification of Data Mining Systems
7 Data Mining Task Primitives
8 Integration of a Data M ining System with a Database or Data Warehouse System
9 Major Issues in Data Mining
10 Summary
Exercises
Bibliographic Notes
Chapter 2. Getting to Kno w Your Data
1. Types of Data Sets and Attribute Values
2. Basic Statistical Descriptions of Data
3. Data Visualiza tion
4. Measuring Data Similarity
5. Summary
Exercises
Bibliographic Notes
Chapter 3. Preprocessing: Data Reduction, Transformation, and Integration
1. Data Quality
2. Major Tasks in Data Preprocessing
3. Data Reduction
4. Data Transformation and Data Discret
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Geographic Data Mining and Knowledge Discovery, Second Edition
