Principles of Data Mining and Knowledge Discovery,9783540425342

Principles of Data Mining and Knowledge Discovery

by ;
ISBN13: 9783540425342
ISBN10: 3540425349
Format: Paperback
Pub. Date: 2001-10-01
Publisher(s): Springer Verlag
List Price: $136.49

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Summary

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.

Table of Contents

Regular Papers
Self Similar Layered Hidden Markov Models
1(15)
Jafar Adibi
Wei-Min Shen
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning
16(13)
Massih-Reza Amini
Patrick Gallinari
Detecting Temporal Changes in Event Sequences: An Application to Demographic Data
29(13)
Hendrik Blockeel
Johannes Furnkranz
Alexia Prskawetz
Francesco C. Billari
Knowledge Discovery in Multi-label Phenotype Data
42(12)
Amanda Clare
Ross D. King
Computing Association Rules Using Partial Totals
54(13)
Frans Coenen
Graham Goulbourne
Paul Leng
Gaphyl: A Genetic Algorithms Approach to Cladistics
67(12)
Clare Bates Congdon
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity
79(12)
Omer Egecioglu
Data Structures for Minimization of Total Within-Group Distance for Spatio-Temporal Clustering
91(12)
Vladimir Estivill-Castro
Michael E. Houle
Non-crisp Clustering by Fast, Convergent, and Robust Algorithms
103(12)
Vladimir Estivill-Castro
Jianhua Yang
Pattern Extraction for Time Series Classification
115(13)
Pierre Geurts
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study
128(12)
Fosca Giannotti
Giuseppe Manco
Franco Turini
Interesting Fuzzy Association Rules in Quantitative Databases
140(12)
Jeannette M. de Graaf
Walter A. Kosters
Jeroen J.W. Witteman
Interestingness Measures for Fuzzy Association Rules
152(13)
Attila Gyenesei
Jukka Teuhola
A Data Set Oriented Approach for Clustering Algorithm Selection
165(15)
Maria Halkidi
Michalis Vazirgiannis
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection
180(12)
Melanie Hilario
Alexandros Kalousis
Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series
192(12)
Frank Hoppner
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
204(12)
Rie Honda
Osamu Konishi
Using Grammatical Inference to Automate Information Extraction from the Web
216(12)
Theodore W. Hong
Keith L. Clark
Biological Sequence Data Mining
228(13)
Yuh-Jyh Hu
Implication-Based Fuzzy Association Rules
241(12)
Eyke Hullermeier
A General Measure of Rule Interestingness
253(13)
Szymon Jaroszewicz
Dan A. Simovici
Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization
266(11)
Jorg Kindermann
Gerhard Paass
Edda Leopold
Propositionalisation and Aggregates
277(12)
Arno J. Knobbe
Marc de Haas
Arno Siebes
Algorithms for the Construction of Concept Lattices and Their Diagram Graphs
289(12)
Sergei Kuznetsov
Sergei Obiedkov
Data Reduction Using Multiple Models Integration
301(13)
Aleksandar O. Lazarevic
Zoran A. Obradovic
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution
314(12)
Roberto R.F. Mendes
Fabricio de B. Voznika
Alex A. Freitas
Julio C. Nievola
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
326(12)
Claire Nedellec
Mohamed Ould Abdel Vetah
Philippe Bessieres
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
338(12)
Jorg Ontrup
Helge Ritter
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
350(12)
Yen-Jen Oyang
Chien-Yu Chen
Tsui-Wei Yang
Internet Document Filtering Using Fourier Domain Scoring
362(12)
Laurence A.F. Park
Marimuthu Palaniswami
Ramamohanarao Kotagiri
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation
374(12)
Francisco Pereira
Marcel Just
Tom Mitchell
Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data
386(13)
Nathalie Pernelle
Marie-Christine Rousset
Veronique Ventos
Comparison of Three Objective Functions for Conceptual Clustering
399(12)
Celine Robardet
Fabien Feschet
Indentification of ECG Arrhythmias Using Phase Space Reconstruction
411(13)
Felice M. Roberts
Richard J. Povinelli
Kristina M. Ropella
Finding Association Rules That Trade Support Optimally against Confidence
424(12)
Tobias Scheffer
Bloomy Decision Tree for Multi-objective Classification
436(12)
Einoshin Suzuki
Masafumi Gotoh
Yuta Choki
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction
448(12)
Shusaku Tsumoto
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model
460(12)
Shusaku Tsumoto
The TwoKey Plot for Multiple Association Rules Control
472(12)
Antony Unwin
Heike Hofmann
Klaus Bernt
Lightweight Collaborative Filtering Method for Binary-Encoded Data
484(8)
Sholom M. Weiss
Nitin Indurkhya
Invited Papers
Support Vectors for Reinforcement Learning
492(1)
Thomas G. Dietterich
Xin Wang
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining
493(1)
Heikki Mannila
Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining
494(1)
Antony Unwin
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery
495(12)
Gerhard Widmer
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery
507(2)
Stefan Wrobel
Author Index 509

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