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.
作者簡介
暫缺《數(shù)據(jù)開采與知識發(fā)現(xiàn)原理》作者簡介
圖書目錄
Regular Papers Self Similar Layered Hidden Markov Models Automatic Text Summarization Using Unsupervised and Semi-supervised Learning Detecting Temporal Changes in Event Sequences: An Application to Demographic Data Knowledge Discovery in Multi-label Phenotype Data Computing Association Rules Using Partial Totals Gaphyl: A Genetic Algorithms Approach to Cladistics Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity Data Structures for Minimization of Total Within-Group Distance for Spatio-Temporal Clustering Non-crisp Clustering by Fast, Convergent, and Robust Algorithms Pattern Extraction for Time Series Classification Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study Interesting Fuzzy Association Rules in Quantitative Databases Interestingness Measures for Fuzzy Association Rules 1 A Data Set Oriented Approach for Clustering Algorithm Selection 1 Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. 1 Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB Using Grammatical Inference to Automate Information Extraction from the Web Biological Sequence Data Mining Implication-Based Fuzzy Association Rules A General Measure of Rule Interestingness Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization Propositionalisation and Aggregates Algorithms for the Construction of Concept Lattices and Their DiagramGraphs Sergei Kuznetsov and Sergei Obiedkov Data Reduction Using Multiple Models Integration Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution Inviter Papeis Author Index
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