4. IDA 2001: Cascais, Portugal

@proceedings{DBLP:conf/ida/2001,
  editor    = {Frank Hoffmann and
               David J. Hand and
               Niall M. Adams and
               Douglas H. Fisher and
               Gabriela Guimar{\~a}es},
  title     = {Advances in Intelligent Data Analysis, 4th International Conference,
               IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings},
  booktitle = {IDA},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2189},
  year      = {2001},
  isbn      = {3-540-42581-0},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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