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ORCID3. IDA 1999: Amsterdam, The Netherlands
- David J. Hand, Joost N. Kok, Michael R. Berthold:
Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings. Lecture Notes in Computer Science 1642, Springer 1999, ISBN 3-540-66332-0
Section I: Learning
- Marc Sebban, Gilles Richard:
From Theoretical Learnability to Statistical Measures of the Learnable. 3-14 - Oscar Cordón
, Francisco Herrera:
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. 15-26 - Richard Nock, Pascal Jappy:
A "Top-Down and Prune" Induction Scheme for Constrained Decision Committees. 27-38 - Walter A. Kosters, Elena Marchiori, Ard A. J. Oerlemans:
Mining Clusters with Association Rules. 39-50 - Stephen Swift, Allan Tucker, Xiaohui Liu:
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series. 51-62 - Tapio Elomaa:
The Biases of Decision Tree Pruning Strategies. 63-74 - Luis Talavera:
Feature Selection as Retrospective Pruning in Hierarchical Clustering. 75-86 - Rosaria Silipo, Michael R. Berthold:
Discriminative Power of Input Features in a Fuzzy Model. 87-98 - Laura Firoiu, Paul R. Cohen:
Learning Elements of Representations for Redescribing Robot Experiences. 99-110 - Xingang Huang, Feng Zhao:
"Seeing" Objects in Spatial Datasets. 111-122 - Kazunori Matsumoto, Kazuo Hashimoto:
Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic. 123-136
Section II: Visualization
- Arthur Flexer, Herbert Bauer:
Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings. 137-148 - Gennady L. Andrienko, Natalia V. Andrienko:
Knowledge-Based Visualization to Support Spatial Data Mining. 149-160 - Thomas Hofmann:
Probabilistic Topic Maps: Navigating through Large Text Collections. 161-172 - Li Yang:
3D Grand Tour for Multidimensional Data and Clusters. 173-186
Section III: Classification and Clustering
- Rob Potharst, Jan C. Bioch:
A Decision Tree Algorithm for Ordinal Classification. 187-198 - Paola Sebastiani, Marco Ramoni, Paul R. Cohen, John Warwick, James Davis:
Discovering Dynamics Using Bayesian Clustering. 199-210 - Luis Talavera, Javier Béjar:
Integrating Declarative Knowledge in Hierarchical Clustering Tasks. 211-222 - Mayer E. Aladjem:
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization. 223-234 - Mark G. Kelly, David J. Hand, Niall M. Adams:
Supervised Classification Problems: How to Be Both Judge and Jury. 235-244 - Cen Li, Gautam Biswas:
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification. 245-256 - Eyke Hüllermeier:
Exploiting Similarity for Supporting Data Analysis and Problem Solving. 257-268 - Susana Nascimento, Boris G. Mirkin, Fernando Moura-Pires:
Multiple Prototype Model for Fuzzy Clustering. 269-280 - Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
A Comparison of Genetic Programming Variants for Data Classification. 281-290 - Frank Klawonn, Annette Keller:
Fuzzy Clustering Based on Modified Distance Measures. 291-302 - Petko Valtchev:
Building Classes in Object-Based Languages by Automatic Clustering. 303-316
Section IV: Integration
- Bart J. A. Mertens, David J. Hand:
Adjusted Estimation for the Combination of Classifiers. 317-330 - Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs:
Data-Driven Theory Refinement Using KBDistAl. 331-342 - Matthew Easley, Elizabeth Bradley:
Reasoning about Input-Output Modeling of Dynamical Systems. 343-356 - Russell G. Almond:
Undoing Statistical Advice. 357-368 - Gabriela Guimarães, Alfred Ultsch:
A Method for Temporal Knowledge Conversion. 369-382
Section V: Applications
- Daniele Gunetti, Giancarlo Ruffo:
Intrusion Detection through Behavioral Data. 383-394 - Paula E. Macrossan, Hussein A. Abbass, Kerrie L. Mengersen, Michael Towsey, Gerard D. Finn:
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry. 395-406 - Douglas A. Talbert, Douglas H. Fisher:
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. 407-414 - David M. J. Tax, Alexander Ypma, Robert P. W. Duin:
Pump Failure Detection Using Support Vector Data Descriptions. 415-426 - Thorsten Poddig, Claus Huber:
Data Mining for the Detection of Turning Points in Financial Time Series. 427-436 - Bokyung Yang-Stephens, M. Charles Swope, Jeffrey Locke, Isabelle Moulinier:
Computer-Assisted Classification of Legal Abstracts. 437-448 - Yoshitomo Ikkai, Kazuhisa Ikeda, Norihisa Komoda, Akira Yamane, Isao Tone:
Sequential Control Logic Inferring Method from Observed Plant I/O Data. 449-460 - Gongxian Cheng, Kwawen Cho, Xiaohui Liu, George Loizou, John Xingwang Wu:
Evaluating an Eye Screening Test. 461-472 - José M. Peña, Sylvain Létourneau, Fazel Famili:
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure. 473-486
Section VI: Media Mining
- Johannes Fürnkranz:
Exploiting Structural Information for Text Classification on the WWW. 487-498 - Yong S. Choi, Suk I. Yoo:
Multi-agent Web Information Retrieval: Neural Network Based Approach. 499-512 - Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper:
Adaptive Information Filtering Algorithms. 513-524 - Nastaran Fatemi, Philippe Mulhem:
A Conceptual Graph Approach for Video Data Representation and Retrieval. 525-
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