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Data Mining

Overview of attention for book
Cover of 'Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Knowledge Discovery Process
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    Chapter 3 Data
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    Chapter 4 Concepts of Learning, Classification, and Regression
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    Chapter 5 Knowledge Representation
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    Chapter 6 Databases, Data Warehouses, and OLAP
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    Chapter 7 Feature Extraction and Selection Methods
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    Chapter 8 Discretization Methods
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    Chapter 9 Unsupervised Learning: Clustering
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    Chapter 10 Unsupervised Learning: Association Rules
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    Chapter 11 Supervised Learning: Statistical Methods
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    Chapter 12 Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids
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    Chapter 13 Supervised Learning: Neural Networks
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    Chapter 14 Text Mining
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    Chapter 15 Assessment of Data Models
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    Chapter 16 Data Security, Privacy and Data Mining
Attention for Chapter 12: Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids
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