4. IDA 2001: Cascais, Portugal

• Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer:
  Feature Characterization in Scientific Datasets. 1-12
  
• Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete:
  Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation. 13-23
  
• Anne Laurent:
  Generating Fuzzy Summaries from Fuzzy Multidimensional Databases. 24-33
  
• Andrew Estabrooks, Nathalie Japkowicz:
  A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. 34-43
  
• Achim Lewandowski, Peter Protzel:
  Predicting Time-Varying Functions with Local Models. 44-52
  
• Cen Li, Gautam Biswas, Mike B. Dale, Pat Dale:
  Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study. 53-62
  
• Nuno M. C. Marques, José Gabriel Pereira Lopes:
  Tagging with Small Training Corpora. 63-72
  
• Udo Hahn, Martin Honeck, Stefan Schulz:
  A Search Engine for Morphologically Complex Languages. 73-83
  
• Renato Bruni, Antonio Sassano:
  Errors Detection and Correction in Large Scale Data Collecting. 84-94
  
• Fernando Berzal Galiano, Ignacio J. Blanco, Daniel Sánchez, María Amparo Vila Miranda:
  A New Framework to Assess Association Rules. 95-104
  
• Corinna Cortes, Daryl Pregibon, Chris Volinsky:
  Communities of Interest. 105-114
  
• Alexander K. Seewald, Johannes Fürnkranz:
  An Evaluation of Grading Classifiers. 115-124
  
• Frank Höppner, Frank Klawonn:
  Finding Informative Rules in Interval Sequences. 125-134
  
• Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk:
  Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. 135-144
  
• Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok:
  Nonmetric Multidimensional Scaling with Neural Networks. 145-155
  
• Joao Gama:
  Functional Trees for Regression. 156-166
  
• José Tomé A. S. Ferreira, David G. T. Denison, David J. Hand:
  Data Mining with Products of Trees. 167-176
  
• Masahiro Terabe, Takashi Washio, Hiroshi Motoda:
  S³Bagging: Fast Classifier Induction Method with Subsampling and Bagging. 177-186
  
• Rolf Backofen:
  RNA-Sequence-Structure Properties and Selenocysteine Insertion. 187-197
  
• Paul R. Cohen, Niall M. Adams:
  An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. 198-207
  
• Terry Windeatt, Gholamreza Ardeshir:
  An Empirical Comparison of Pruning Methods for Ensemble Classifiers. 208-217
  
• Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker:
  A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. 218-227
  
• José Luis Triviño-Rodriguez, Rafael Morales Bueno:
  Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging. 228-237
  
• Fuchun Peng, Dale Schuurmans:
  Self-Supervised Chinese Word Segmentation. 238-247
  
• Syed Sibte Raza Abidi, Kok Meng Hoe, Alwyn Goh:
  Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules. 248-257
  
• Ryohei Nakano, Kazumi Saito:
  Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. 258-267
  
• Paul R. Cohen:
  Fluent Learning: Elucidating the Structure of Episodes. 268-277
  
• Sérgio Viademonte, Frada Burstein:
  An Intelligent Decision Support Model for Aviation Weather Forcasting. 278-288
  
• Robert Castelo, A. J. Feelders, Arno Siebes:
  MAMBO: Discovering Association Rules Based on Conditional Independencies. 289-298
  
• Richard H. Glendinning:
  Model Building for Random Fields. 299-308
  
• Tobias Scheffer, Christian Decomain, Stefan Wrobel:
  Active Hidden Markov Models for Information Extraction. 309-318
  
• Gabriel Somlo, Adele E. Howe:
  Adaptive Lightweight Text Filtering. 319-329
  
• Hongwei Zhang, Fengzhan Tian, Yuchang Lu:
  A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks. 330-339
  
• Dave Yearling, David J. Hand:
  Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks. 340-349
  
• Marzena Kryszkiewicz:
  Closed Set Based Discovery of Representative Association Rules. 350-359
  
• Matthew Easley, Elizabeth Bradley:
  Intelligent Sensor Analysis and Actuator Control. 360-369
  
• Grace W. Rumantir, Chris S. Wallace:
  Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery. 370-377
  

The IDA'01 Robot Data Challenge

• Paul R. Cohen, Niall M. Adams, David J. Hand:
  The IDA'01 Robot Data Challenge. 378-382
  

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