This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001.
The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.
Author(s): Jafar Adibi, Wei-Min Shen (auth.), Luc De Raedt, Arno Siebes (eds.)
Series: Lecture Notes in Computer Science 2168 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2001
Language: English
Pages: 514
Tags: Artificial Intelligence (incl. Robotics); Database Management; Business Information Systems; Information Storage and Retrieval; Document Preparation and Text Processing; Statistics and Computing/Statistics Programs
Self-Similar Layered Hidden Markov Models....Pages 1-15
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning....Pages 16-28
Detecting Temporal Change in Event Sequences: An Application to Demographic Data....Pages 29-41
Knowledge Discovery in Multi-label Phenotype Data....Pages 42-53
Computing Association Rules Using Partial Totals....Pages 54-66
Gaphyl: A Genetic Algorithms Approach to Cladistics....Pages 67-78
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity....Pages 79-90
Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering....Pages 91-102
Non-crisp Clustering by Fast, Convergent, and Robust Algorithms....Pages 103-114
Pattern Extraction for Time Series Classification....Pages 115-127
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study....Pages 128-139
Interesting Fuzzy Association Rules in Quantitative Databases....Pages 140-151
Interestingness Measures for Fuzzy Association Rules....Pages 152-164
A Data Set Oriented Approach for Clustering Algorithm Selection....Pages 165-179
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection....Pages 180-191
Discovery of Temporal Patterns....Pages 192-203
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB....Pages 204-215
Using Grammatical Inference to Automate Information Extraction from the Web....Pages 216-227
Biological Sequence Data Mining....Pages 228-240
Implication-Based Fuzzy Association Rules....Pages 241-252
A General Measure of Rule Interestingness....Pages 253-265
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization....Pages 266-276
Propositionalisation and Aggregates....Pages 277-288
Algorithms for the Construction of Concept Lattices and Their Diagram Graphs....Pages 289-300
Data Reduction Using Multiple Models Integration....Pages 301-313
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution....Pages 314-325
Sentence Filtering for Information Extraction in Genomics, a Classification Problem....Pages 326-337
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces....Pages 338-349
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory....Pages 350-361
Internet Document Filtering Using Fourier Domain Scoring....Pages 362-373
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation....Pages 374-385
Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data....Pages 386-398
Comparison of Three Objective Functions for Conceptual Clustering....Pages 399-410
Identification of ECG Arrhythmias Using Phase Space Reconstruction....Pages 411-423
Finding Association Rules That Trade Support Optimally against Confidence....Pages 424-435
Bloomy Decision Tree for Multi-objective Classification....Pages 436-447
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction....Pages 448-459
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model....Pages 460-471
The TwoKey Plot for Multiple Association Rules Control....Pages 472-483
Lightweight Collaborative Filtering Method for Binary-Encoded Data....Pages 484-491
Support Vectors for Reinforcement Learning....Pages 492-492
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining....Pages 493-493
Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining....Pages 494-494
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery....Pages 495-506
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery....Pages 507-507
