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4. IDA 2001: Cascais, Portugal
- Frank Hoffmann, David J. Hand, Niall M. Adams, Douglas H. Fisher, Gabriela Guimarães:
Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings. Lecture Notes in Computer Science 2189, Springer 2001, ISBN 3-540-42581-0 - 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 - João 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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