Knowledge Acquisition from Databases

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More About This Book

Editorial Reviews

Booknews
A comprehensive English-Russian and Russian-English collection of modern statistical terminology, containing some 13,500 terms and some 1,000 names. Topics covered include mathematical statistics and probability theory, computational statistics and statistical software, and applied statistical components in economics, sociology, demography, medicine, natural sciences, and technology. The volume provides an extensive collection of terms in the fields of computer terminology related to problems of data processing and statistical software, theory of random processes, statistical quality control, operations research, and some supplementary areas such as the terminology of Russian official statistics. For translators and other experts who work with English and Russian statistical literature. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Table of Contents

List of Figures
List of Tables
About the Author
Preface
Glossary of Notation
1 Introduction 3
2 Learning From Databases 7
3 Symbolic Rule Induction in Machine Learning 17
4 Constructing Decision Trees With ID3 and C4.5 33
5 Generating Rules With HCV 49
6 Dealing With Noise and Real-Valued Attributes 73
7 A Performance Comparison of HCV With ID3, C4.5, and NewID 89
8 KEshell: A Rule Schema + Rule Body-Based Knowledge Engineering Shell 99
9 A Representation for Integrating Knowledge and Data 125
10 KEshell2: An Intelligent Learning Database System 139
11 Conclusions 149
Appendices 151
A HCV (Version 2.0) User's Manual 153
B Results Produced by HCV on the MONK's Problems 177
C An Example Run of SIKT in KEshell 191
References 195
Subject Index 205
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