Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000 Lyon, France, September 13–16, 2000 Proceedings

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This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000.
The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

Author(s): Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Daniël Van Der Wallen (auth.), Djamel A. Zighed, Jan Komorowski, Jan Żytkow (eds.)
Series: Lecture Notes in Computer Science 1910 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2000

Language: English
Pages: 701
Tags: Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Information Systems Applications (incl.Internet); Symbolic and Algebraic Manipulation; Mathematical Logic and Formal Languages

Multi-relational Data Mining, Using UML for ILP....Pages 1-12
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data....Pages 13-23
Basis of a Fuzzy Knowledge Discovery System....Pages 24-33
Confirmation Rule Sets....Pages 34-43
Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery....Pages 44-53
Combining Multiple Models with Meta Decision Trees....Pages 54-64
Materialized Data Mining Views....Pages 65-74
Approximation of Frequency Queries by Means of Free-Sets....Pages 75-85
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control....Pages 86-95
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks....Pages 96-105
Quantifying the Resilience of Inductive Classification Algorithms....Pages 106-115
Bagging and Boosting with Dynamic Integration of Classifiers....Pages 116-125
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information....Pages 126-135
Some Enhancements of Decision Tree Bagging....Pages 136-147
Relative Unsupervised Discretization for Association Rule Mining....Pages 148-158
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today’s Approaches....Pages 159-168
Unified Algorithm for Undirected Discovery of Exception Rules....Pages 169-180
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database....Pages 181-190
Instance-Based Classification by Emerging Patterns....Pages 191-200
Context-Based Similarity Measures for Categorical Databases....Pages 201-210
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods....Pages 211-220
Fast Feature Selection using Partial Correlation for Multi-valued Attributes....Pages 221-231
Fast Hierarchical Clustering Based on Compressed Data and OPTICS....Pages 232-242
Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up....Pages 243-254
Predictive Performance of Weighted Relative Accuracy....Pages 255-264
Quality Scheme Assessment in the Clustering Process....Pages 265-276
Algorithm for Matching Sets of Time Series....Pages 277-288
MSTS: A System for Mining Sets of Time Series....Pages 289-298
Learning First Order Logic Time Series Classifiers: Rules and Boosting....Pages 299-308
Learning Right Sized Belief Networks by Means of a Hybrid Methodology....Pages 309-315
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets....Pages 316-324
Discovering Task Neighbourhoods through Landmark Learning Performances....Pages 325-330
Induction of Multivariate Decision Trees by Using Dipolar Criteria....Pages 331-336
Inductive Logic Programming in Clementine....Pages 337-344
A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts....Pages 345-352
Clustering Large, Multi-level Data Sets: An Approach Based on Kohonen Self Organizing Maps....Pages 353-358
Trees and Induction Graphs for Multivariate Response....Pages 359-366
CEM - A Program for Visualization and Discovery in Email....Pages 367-374
Image Access and Data Mining: An Approach....Pages 375-380
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms....Pages 381-387
Determination of Screening Descriptors for Chemical Reaction Databases....Pages 388-394
Prior Knowledge in Economic Applications of Data Mining....Pages 395-400
Temporal Machine Learning for Switching Control....Pages 401-408
Improving Dissimilarity Functions with Domain Knowledge, applications with IKBS system....Pages 409-415
Mining Weighted Association Rules for Fuzzy Quantitative Items....Pages 416-423
Centroid-Based Document Classification: Analysis and Experimental Results....Pages 424-431
Applying Objective Interestingness Measures in Data Mining Systems....Pages 432-439
Observational Logic Integrates Data Mining Based on Statistics and Neural Networks....Pages 440-445
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases....Pages 446-451
Collective Principal Component Analysis from Distributed, Heterogeneous Data....Pages 452-457
Hierarchical Document Clustering Based on Tolerance Rough Set Model....Pages 458-463
Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering....Pages 464-469
Towards Knowledge Discovery from cDNA Microarray Gene Expression Data....Pages 470-475
Mining with Cover and Extension Operators....Pages 476-482
A User-Driven Process for Mining Association Rules....Pages 483-489
Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification....Pages 490-497
Schema Mining: Finding Structural Regularity among Semistructured Data....Pages 498-503
Improving an Association Rule Based Classifier....Pages 504-509
Discovery of Generalized Association Rules with Multiple Minimum Supports....Pages 510-515
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions....Pages 516-523
Discovering Differences in Patients with Uveitis through Typical Testors by Class....Pages 524-529
Web Usage Mining: How to Efficiently Manage New Transactions and New Clients....Pages 530-535
Mining Relational Databases....Pages 536-541
Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule Generation....Pages 542-549
Discovery of Characteristic Subgraph Patterns Using Relative Indexing and the Cascade Model....Pages 550-557
Transparency and Predictive Power....Pages 558-565
Clustering Distributed Homogeneous Datasets....Pages 566-574
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set....Pages 575-580
Discovery of Ambiguous Patterns in Sequences Application to Bioinformatics....Pages 581-586
Action-Rules: How to Increase Profit of a Company....Pages 587-592
Aggregation and Association in Cross Tables....Pages 593-598
An Experimental Study of Partition Quality Indices in Clustering....Pages 599-604
Expert Constrained Clustering: A Symbolic Approach....Pages 605-612
An Application of Association Rules Discovery to Geographic Information Systems....Pages 613-618
Generalized Entropy and Projection Clustering of Categorical Data....Pages 619-625
Supporting Case Acquisition and Labelling in the Context of Web Mining....Pages 626-631
Indirect Association: Mining Higher Order Dependencies in Data....Pages 632-637
Discovering Association Rules in Large, Dense Databases....Pages 638-645
Providing Advice to Website Designers Towards Effective Websites Re-organization....Pages 646-651
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies....Pages 652-656
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case....Pages 657-664
Lightweight Document Clustering....Pages 665-672
Automatic Category Structure Generation and Categorization of Chinese Text Documents....Pages 673-678
Mining Generalized Multiple-level Association Rules....Pages 679-684
An Efficient Approach to Discovering Sequential Patterns in Large Databases....Pages 685-690
Using Background Knowledge as a Bias to Control the Rule Discovery Process....Pages 691-698