Advances in Knowledge Discovery and Data Mining

Abstract: Discusses tools and techniques that can intelligently and automatically assist us in transforming the flood of information into useful knowledge.

Keywords: book review, software, ai, database, data mining, theory of knowledge discovery acquisition, expert systems, artificial intelligence.

Title: Advances in Knowledge Discovery and Data Mining Editor: Usama M. Fayyad, Ramasamy Uthurusamy, Gregory Piatetsky-Shapiro, Padhraic Smyth Publisher: M I T Press Date Published: March 1996 ISBN: 0262560976 LOCN: QA76.76.E95A38 1996 Dewey: 001.4/225/028563 20 Pages: 611 Bibliography: 580 Figures: 128

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CONTENTS

Foreword

Preface

Chapter 1: From Data Mining to Knowledge Discovery: An Overview

Part I: Foundations

Chapter 2: The Process of Knowledge Discovery in Databases: A Human-Centered Approach

Chapter 3: Graphical Models for Discovering Knowledge

Chapter 4: A Statistical Perspective on Knowledge Discovery in Databases

Part II: Classification and Clustering

Chapter 5: Inductive Logic Programming and Knowledge Discovery in Databases

Chapter 6: Bayesian Classification (AutoClass): Theory and Results

Chapter 7: Discovering Informative Patterns and Data Cleaning

Chapter 8: Transforming Rules and Trees into Comprehensible Knowledge Structures

Part III: Trend and Deviation Analysis

Chapter 9: Finding Patterns in Time Series: A Dynamic Programming Approach

Chapter 10: Explora: A Multipattern and Multistrategy Discovery Assistant

Part IV: Dependency Derivation

Chapter 11: Bayesian Networks for Knowledge Discovery

Chapter 12: Fast Discovery of Association Rules

Chapter 13: From Contingency Tables to Various Forms of Knowledge in Databases

Part V: Integrated Discovery Systems

Chapter 14: Integrating Inductive and Deductive Reasoning

Chapter 15: Metaqueries for Data Mining

Chapter 16: Exploration of the Power of Attribute-Oriented Induction in Data Mining

Part VI: Next Generation Database Systems

Chapter 17: Using Inductive Learning to Generate Rules for Semantic Query Optimization

Chapter 18: Data Surveyor: Searching the Nuggets in Parallel

Part VII: KDD Applications

Chapter 19: Automating the Analysis and Cataloging of Sky Surveys

Chapter 20: Selecting and Reporting What is Interesting: The KEFIR Application to Healthcare Data

Chapter 21: Modeling Subjective Uncertainty in Image Annotation

Chapter 22: Predicting Equity Returns from Securities Data with Minimal Rule Generation

Chapter 23: From Data Mining to Knowledge Discovery: Current Challenges and Future Directions

Part VIII: Appendices

Appendix A: Knowledge Discovery in Databases Terminology

Appendix B: Data Mining and Knowledge Discovery Internet Resources

LIBRARY OF CONGRESS DATA

Title:         Advances in knowledge discovery and data mining /
                  edited by Usama M. Fayyad ... [et al.].
Published:     Menlo Park, Calif. : AAAI Press : MIT Press,
                  c1996.
Description:   xiv, 611 p. : ill. ; 23 cm.
LC Call No.:   QA76.76.E95A38 1996
Dewey No.:     001.4/225/028563 20
Notes:         Includes bibliographical references and index.
Subjects:      Knowledge acquisition (Expert systems)
               Databases.
               Knowledge, Theory of.
               Artificial intelligence.
Other authors: Fayyad, Usama M.
Control No.:   95045329 

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