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.
Author(s): Bjarne A. Foss (auth.), Jan Komorowski, Jan Zytkow (eds.)
Series: Lecture Notes in Computer Science 1263 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997
Language: English
Pages: 404
Tags: Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Multimedia Information Systems; Probability and Statistics in Computer Science; Business Information Systems
Knowledge discovery — A control theory perspective....Pages 1-3
Modelling customer retention with Rough Data Models....Pages 4-13
Share based measures for itemsets....Pages 14-24
Parallel knowledge discovery using domain generalization graphs....Pages 25-35
Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems....Pages 36-46
Logical calculi for knowledge discovery in databases....Pages 47-57
Extraction of experts' decision process from clinical databases using rough set model....Pages 58-67
Discovering of health risks and case-based forecasting of epidemics in a health surveillance system....Pages 68-77
An algorithm for multi-relational discovery of subgroups....Pages 78-87
Finding similar time series....Pages 88-100
Exploration of document collections with self-organizing maps: A novel approach to similarity representation....Pages 101-111
Pattern based browsing in document collections....Pages 112-122
Induction of fuzzy characteristic rules....Pages 123-133
Regression-based classification methods and their comparison with decision tree algorithms....Pages 134-144
Attribute discovery and rough sets....Pages 145-155
Generation of rules from incomplete information systems....Pages 156-166
Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement....Pages 167-177
Efficient multisplitting on numerical data....Pages 178-188
SNOUT: An intelligent assistant for exploratory data analysis....Pages 189-199
Exploratory analysis of biochemical processes using hybrid modeling methods....Pages 200-210
Using signature files for querying time-series data....Pages 211-220
A new and versatile method for association generation....Pages 221-231
Bivariate decision trees....Pages 232-242
Towards process-oriented tool support for knowledge discovery in databases....Pages 243-253
A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection....Pages 254-264
Searching for relational patterns in data....Pages 265-276
Finding spatial clusters....Pages 277-287
Interactive interpretation of hierarchical clustering....Pages 288-298
The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques....Pages 299-306
Recognizing reliability of discovered knowledge....Pages 307-314
Clustering techniques in biological sequence analysis....Pages 315-322
TOAS intelligence mining; analysis of natural language processing and computational linguistics....Pages 323-334
Algorithms for constructing of decision trees....Pages 335-342
Mining in the phrasal frontier....Pages 343-350
Mining time series using rough sets — A case study....Pages 351-358
Neural networks design: Rough set approach to continuous data....Pages 359-366
On meta levels of an organized society of KDD agents....Pages 367-375
Using neural network to extract knowledge from database....Pages 376-383
Induction of strong feature subsets....Pages 384-392
Rough sets for data mining and knowledge discovery....Pages 393-393
Techniques and applications of KDD....Pages 394-394
A tutorial introduction to high performance data mining....Pages 395-395
Data mining in the telecommunications industry....Pages 396-396
