Titel                : Advances in Intelligent Data Analysis : 4th International
                       Conference, IDA 2001  Cascais, Portugal, September 13-15, 2001
                       Proceedings
Dokumenttyp          : Kongresswerk      
ISBN                 : 3540425810
Erscheinungsjahr     : 2001
Herausgeber          : Hoffmann, Frank    Hand, David J.    Adams, Niall  u. a.
Serientitel          : Lecture notes in computer science
Bandnummer           : 2189
Erste Seite          : 1
Letzte Seite         : 384
Tagungsname          : 4th International Conference on Advances in Intelligent Data
                       Analysis, IDA 2001  September 13-15, 2001
Tagungsort           : Cascais, Portugal
Tagungsjahr          : 2001
Verlag               : Springer, Berlin
Standort             : 0105 (Serien)
Signatur             : 09.2001F250

Archiviert am        : 24.10.2001
Neuerwerbungsregal   : von 00.00.00 bis 00.00.00

Inhaltsverzeichnis:

Advances in Intelligent Data Analysis : 4th International Conference, IDA 2001  
Cascais, Portugal, September 13-15, 2001  Proceedings
Hrsg:. Frank Hoffmann     David J. Hand     Niall Adams  u. a.
Springer, Berlin , 2001 , 384 S.
ISBN 3540425810
( Lecture notes in computer science ; 2189 )
ISSN 03029743

Table of Contents

The Fourth International Symposium on Intelligent Data Analysis

Feature Characterization in Scientific Datasets  1
Elizabeth Bradley (University of Colorado), Nancy Collins (University
of Colorado), W. Philip Kegelmeyer (Sandia National Laboratories)

Relevance Feedback in the Bayesian Network Retrieval Model:
An Approach Based on Term Instantiation  13
Luis M. de Campos (University of Granada), Juan M. Ferndndez-Luna
(University of Jaen), Juan F. Huete (University of Granada)

Generating Fuzzy Summaries from Fuzzy Multidimensional Databases   24
Anne Laurent (Universite Pierre et Marie Curie)

A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets ....... 34
Andrew Estabrooks (IBM), Nathalie Japkowicz (University of Ottawa)

Predicting Time-Varying Functions with Local Models  44
Achim Lewandowski (Chemnitz University), Peter Protzel (Chemnitz University)

Building Models of Ecological Dynamics Using HMM Based Temporal
Data Clustering - A Preliminary Study  53
Cen Li (Tennessee State University), Gautam Biswas (Vanderbilt
University), Mike Dale (Griffith University), Pat Dale (Griffith University)

Tagging with Small Training Corpora  63
Nuno C. Marques (Universidade Aberta), Gabriel Pereira Lopes (Centria)

A Search Engine for Morphologically Complex Languages  73
Udo Hahn (Universität Freiburg), Martin Honeck (Universitätsklinikum
Freiburg), Stefan Schulz (Universitäitsklinikum Freiburg)

Errors Detection and Correction in Large Scale Data Collecting  84
Renato Bruni (Universita di Roma), Antonio Sassano (Universita di Roma)

A New Framework to Assess Association Rules  95
Fernando Berzal (University of Granada), Ignacio Blanco (University
of Granada), Daniel Sanchez (University of Granada),
Maria-Amparo Vila (University of Granada)

Communities of Interest   105
Corinna Cortes (AT&T Shannon Research Labs), Daryl Pregibon
(AT&T Shannon Research Labs), Chris Volinsky (AT&T Shannon Research Labs)

An Evaluation of Grading Classifiers  115
Alexander K. Seewald (Austrian Research Institute for Artificial
Intelligence), Johannes Fürnkranz (Austrian Research Institute for Artificial Intelligence)

Finding Informative Rules in Interval Sequences  125
Frank Höppner (University of Applied Sciences Emden),
Frank Klawonn (University of Applied Sciences Emden)

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection 135
Seppo Puuronen (University of Jyväskylä), Alexey Tsymbal (University
of Jyväskylä), Iryna Skrypnyk (University of Jyväskylä)

Nonmetric Multidimensional Scaling with Neural Networks  145
Michiel C. van Wezel (Universiteit Leiden), Walter A. Kosters
(Universiteit Leiden), Peter van der Putten (Universiteit Leiden),
Joost N. Kok (Universiteit Leiden)

Functional Trees for Regression  156
Joao Gama (University of Porto)

Data Mining with Products of Trees  167
Jose Tome A.S. Ferreira (Imperial College), David G. T. Denison
(Imperial College), David J. Hand (Imperial College)

S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging   177
Masahiro Terabe (Mitshibishi Research Institute, Inc.), Takashi Washio
(I.S.I.R., Osaka University), Hiroshi Motoda (I.S.I.R., Osaka University)

RNA-Sequence-Structure Properties and Selenocysteine Insertion  187
Rolf Backofen (University of Munich)

An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes  198
Paul Cohen (University of Massachusetts), Niall Adams (Imperial College)

An Empirical Comparison of Pruning Methods for Ensemble Classifiers 208
Terry Windeatt (School of Electronics Engineering Guildford),
Gholamreza Ardeshir (School of Electronics Engineering Guildford)

A Framework for Modelling Short, High-Dimensional Multivariate Time
Series: Preliminary Results in Virus Gene Expression Data Analysis  218
Paul Kellam (University College London), Xiaohui Liu (Brunel
University), Nigel Martin (Birkbeck College), Christine Orengo
(University College London), Stephen Swift (Brunel University),
Allan Tucker (Brunel University)

Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging  228
Jose L. Trivino-Rodriguez (University of Malaga), Rafael Morales-Bueno (University of Malaga)

Self-Supervised Chinese Word Segmentation  238
Fuchun Peng (University of Waterloo), Dale Schuurmans (University of Waterloo)

Analyzing Data Clusters: A Rough Sets Approach to Extract
Cluster-Defining Symbolic Rules  248
Syed Sibte Raza Abidi (Universiti Sains Malaysia), Kok Meng Hoe
(Universiti Sains Malaysia), Alwyn Goh (Universiti Sains Malaysia)

Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables  258
Ryohei Nakano (Nagoya Institute of Technology), Kazumi Saito (NTT Communication Science Laboratories)

Fluent Learning: Elucidating the Structure of Episodes  268
Paul R. Cohen (University of Massachusetts)

An Intelligent Decision Support ModeI for Aviation Weather Forcasting  278
Sftio Viademonte (Monash University), Frada Burstein (Monash University)

MAMBO: Discovering Association Rules Based on Conditional Independencies  289
Robert Castelo (Utrecht University), Ad Feelders (Utrecht University),
Arno Siebes (Utrecht University)

Model Building for Random Fields  299
R.H. Glendinning (Defence Evaluation and Research Agency)

Active Hidden Markov Models for Information Extraction  309
Tobias Scheffer (University of Magdeburg), Christian Decomain
(SemanticEdge), Stefan Wrobel (University of Magdeburg)

Adaptive Lightweight Text Filtering 319
Gabriel L. Somlo (Colorado State University), Adele E. Howe (Colorado State University)

A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks 330
Zhang Hongwei (Tsinghua University), Tian Fengzhan (Tsinghua
University), Lu Yuchang (Tsinghua University)

Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks 340
Dave Yearling (BTexact Technologies), David J. Hand (Imperial College)

Closed Set Based Discovery of Representative Association Rules 350
Marzena Kryszkiewicz (Warsaw University of Technology)

Intelligent Sensor Analysis and Actuator Control 360
Matthew Easley (Rockwell Scientific), Elizabeth Bradley (University of Colorado)

Sampling of Highly Arrelated Data for Polynomial Regression and Model Discovery 370
Grace W. Rumantir (Monash University), Chris S. Wallace (Monash University)

The IDA'01 Robot Data Challenge

The IDA'01 Robot Data Challenge 378
Paul Cohen (University of Massachusetts), Niall Adams (Imperial
College), David J. Hand (Imperial College)

Author Index ................................................. 383

040020271507