Data Mining A Tutorial Based Primer

ISBN-10: 0201741288
ISBN-13: 9780201741285
Edition: 2003
List price: $93.40
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Book details

List price: $93.40
Copyright year: 2003
Publisher: Addison Wesley
Publication date: 9/26/2002
Binding: Mixed Media
Pages: 408
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.650
Language: English

Preface
Data Mining Fundamentals
Data Mining: A First View
Data Mining: A Definition
What Can Computers Learn?
Is Data Mining Appropriate for my Problem?
Expert Systems or Data Mining?
A Simple Data Mining Process Model
Why not Simple Search?
Data Mining Applications
Data Mining: A Closer Look
Data Mining Strategies
Supervised Data Mining Techniques
Association Rules
Clustering Techniques
Evaluating Performance
Basic Data Mining Techniques
Decision Trees
Generating Association Rules
The K-Means Algorithm
Genetic Learning
Choosing a Data Mining Technique
An Excel-Based Data Mining Tool
The iData Analyzer
ESX: A Multipurpose Tool for Data Mining
iDAV Format for Data Mining
A Five-Step Approach for Unsupervised Clustering
A Six-Step Approach for Supervised Learning
Techniques for Generating Rules
Instance Typicality
Special Considerations and Features
Tools For Knowledge Discovery
Knowledge Discovery in Databases
A KDD Process Model
Goal Identification
Creating a Target Data Set
Data Preprocessing
Data Transformation
Data Mining
Interpretation and Evaluation
Taking Action
The CRISP-DM Process Model
Experimenting with ESX
The Data Warehouse
Operational Databases
Data Warehouse Design
On-line Analytical Processing (OLAP)
Excel Pivot Tables for Data Analysis
Formal Evaluation Techniques
What Should be Evaluated?
Tools for Evaluation
Computing Test Set Confidence Intervals
Comparing Supervised Learner Models
Attrtribute Evaluation
Unsupervised Evaluation Techniques
Evaluating Supervised Models with Numeric Output
Advanced Data Mining Techniques
Neural Networks
Feed-Forward Neural Networks
Neural Network Training: A Conceptual View
Neural Network Explanation
General Considerations
Neural Network Learning: A Detailed View
Building Neural Networks with iDA
A Four-Step Approach for Backpropagation Learning
A Four-Step Approach for Neural Network Clustering
ESX for Neural Network Cluster Analysis
Statistical Techniques
Linear Regression Analysis
Logistic Regression
Bayes Classifier
Clustering Algorithms
Heuristics or Statistics?
Specialized Techniques
Time-Series Analysis
Mining the Web
Mining Textual Data
Improving Performance
Intelligent Systems
Rule-Based Systems
Exploring Artificial Intelligence
Problem Solving as a State Space Search
Expert Systems
Structuring a Rule-Based System
Managing Uncertainty in Rule-Based Systems
Uncertainty: Sources and Solutions
Fuzzy Rule-Based Systems
A Probability-Based Approach to Uncertainty
Intelligent Agents
Characteristics of Intelligent Agents
Types of Agents
Integrating Data Mining, Expert Systems, and Intelligent Agents
Appendix
Software Installation
Datasets for Data Mining
Decision Tree Attribute Selection
Statistics for Performance Evaluation
Excel 97 Pivot
Tabl

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