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Principles of Data Mining and Knowledge Discovery : First European Symposium, Pkdd '97, Trondheim, Norway, June 24-27, 1997 Proceedings - Jan Komorowski

Principles of Data Mining and Knowledge Discovery

First European Symposium, Pkdd '97, Trondheim, Norway, June 24-27, 1997 Proceedings

By: Jan Komorowski (Editor), Jan M. Zytkow (Editor)

Paperback

Published: 13th June 1997
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This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997.
The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.

Knowledge Discovery - A Control Theory Perspectivep. 1
Modeling Customer Retention with Rough Data Modelsp. 4
Share Based Measures for Itemsetsp. 14
Parallel Knowledge Discovery Using Domain Generalization Graphsp. 25
Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systemsp. 36
Logical Calculi for Knowledge Discovery in Databasesp. 47
Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Modelp. 58
Discovering of Health Risks and Case-Based Forecasting of Epidemics in a Health Surveillance Systemp. 68
An Algorithm for Multi-relational Discovery of Subgroupsp. 78
Finding Similar Time Seriesp. 88
Exploration of Document Collections with Self-Organizing Maps: A Novel Approach to Similarity Representationp. 101
Pattern Based Browsing in Document Collectionsp. 112
Induction of Fuzzy Characteristic Rulesp. 123
Regression-Based Classification Methods and Their Comparison with Decision Tree Algorithmsp. 134
Attribute Discovery and Rough Setsp. 145
Generation of Rules from Incomplete Information Systemsp. 156
Knowledge Discovery from Software Engineering Data: Rough Set Analysis and Its Interaction with Goal-Oriented Measurementp. 167
Efficient Multisplitting on Numerical Datap. 178
SNOUT: An Intelligent Assistant for Exploratory Data Analysisp. 189
Exploratory Analysis of Biochemical Processes Using Hybrid Modeling Methodsp. 200
Using Signature Files for Querying Time-Series Datap. 211
A New and Versatile Method for Association Generationp. 221
Bivariate Decision Treesp. 232
Towards Process-Oriented Tool Support for KDDp. 243
A Connectionist Approach to Structural Similarity Determination as a Basis of Clustering, Classification and Feature Detectionp. 254
Searching for Relational Patterns in Datap. 265
Finding Spatial Clustersp. 277
Interactive Interpretation of Hierarchical Clusteringp. 288
The Principle of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniquesp. 299
Recognizing Reliability of Discovered Knowledgep. 307
Clustering Techniques in Biological Sequence Analysisp. 315
TOAS Intelligence Mining; Analysis of NLP and Computational Linguisticsp. 323
Algorithms for Constructing of Decision Treesp. 335
Mining in the Phrasal Frontierp. 343
Mining Time Series Using Rough Sets - A Case Studyp. 351
Neural Networks Design: Rough Set Approach to Continuous Datap. 359
On Meta Levels of an Organized Society of KDD Agentsp. 367
Using Neural Network to Extract Knowledge from Databasep. 376
Induction of Strong Feature Subsetsp. 384
Rough Sets for Data Mining and Knowledge Discoveryp. 393
Techniques and Applications of KDDp. 394
A Tutorial Introduction to High Performance Data Miningp. 395
Data Mining in the Telecommunications Industryp. 396
Author Indexp. 397
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540632238
ISBN-10: 3540632239
Series: Lecture Notes in Logic
Audience: General
Format: Paperback
Language: English
Number Of Pages: 404
Published: 13th June 1997
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 2.16
Weight (kg): 0.58