3. IDA 1999:
Amsterdam,
The Netherlands
David J. Hand, Joost N. Kok, Michael R. Berthold (Eds.):
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 BibTeX
@proceedings{DBLP:conf/ida/1999,
editor = {David J. Hand and
Joost N. Kok and
Michael R. Berthold},
title = {Advances in Intelligent Data Analysis, Third International Symposium,
IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings},
booktitle = {IDA},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1642},
year = {1999},
isbn = {3-540-66332-0},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Section I:
Learning
- Marc Sebban, Gilles Richard:
From Theoretical Learnability to Statistical Measures of the Learnable.
3-14
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- Oscar Cordón, Francisco Herrera:
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis.
15-26
Electronic Edition (Springer LINK) BibTeX
- Richard Nock, Pascal Jappy:
A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees.
27-38
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- Walter A. Kosters, Elena Marchiori, Ard A. J. Oerlemans:
Mining Clusters with Association Rules.
39-50
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- Stephen Swift, Allan Tucker, Xiaohui Liu:
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series.
51-62
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- Tapio Elomaa:
The Biases of Decision Tree Pruning Strategies.
63-74
Electronic Edition (Springer LINK) BibTeX
- Luis Talavera:
Feature Selection as Retrospective Pruning in Hierarchical Clustering.
75-86
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- Rosaria Silipo, Michael R. Berthold:
Discriminative Power of Input Features in a Fuzzy Model.
87-98
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- Laura Firoiu, Paul R. Cohen:
Learning Elements of Representations for Redescribing Robot Experiences.
99-110
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- Xingang Huang, Feng Zhao:
``Seeing'' Objects in Spatial Datasets.
111-122
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- Kazunori Matsumoto, Kazuo Hashimoto:
Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic.
123-136
Electronic Edition (Springer LINK) BibTeX
Section II:
Visualization
Section III:
Classification and Clustering
- Rob Potharst, Jan C. Bioch:
A Decision Tree Algorithm for Ordinal Classification.
187-198
Electronic Edition (Springer LINK) BibTeX
- Paola Sebastiani, Marco Ramoni, Paul R. Cohen, John Warwick, James Davis:
Discovering Dynamics Using Bayesian Clustering.
199-210
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- Luis Talavera, Javier Béjar:
Integrating Declarative Knowledge in Hierarchical Clustering Tasks.
211-222
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- Mayer Aladjem:
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization.
223-234
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- Mark G. Kelly, David J. Hand, Niall M. Adams:
Supervised Classification Problems: How to Be Both Judge and Jury.
235-244
Electronic Edition (Springer LINK) BibTeX
- Cen Li, Gautam Biswas:
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification.
245-256
Electronic Edition (Springer LINK) BibTeX
- Eyke Hüllermeier:
Exploiting Similarity for Supporting Data Analysis and Problem Solving.
257-268
Electronic Edition (Springer LINK) BibTeX
- Susana Nascimento, Boris Mirkin, Fernando Moura-Pires:
Multiple Prototype Model for Fuzzy Clustering.
269-280
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- Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
A Comparison of Genetic Programming Variants for Data Classification.
281-290
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- Frank Klawonn, Annette Keller:
Fuzzy Clustering Based on Modified Distance Measures.
291-302
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- Petko Valtchev:
Building Classes in Object-Based Languages by Automatic Clustering.
303-316
Electronic Edition (Springer LINK) BibTeX
Section IV:
Integration
Section V:
Applications
- Daniele Gunetti, Giancarlo Ruffo:
Intrusion Detection through Behavioral Data.
383-394
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- 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
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- Douglas A. Talbert, Douglas H. Fisher:
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees.
407-414
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- David M. J. Tax, Alexander Ypma, Robert P. W. Duin:
Pump Failure Detection Using Support Vector Data Descriptions.
415-426
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- Thorsten Poddig, Claus Huber:
Data Mining for the Detection of Turning Points in Financial Time Series.
427-436
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- Bokyung Yang-Stephens, M. Charles Swope, Jeffrey Locke, Isabelle Moulinier:
Computer-Assisted Classification of Legal Abstracts.
437-448
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- Yoshitomo Ikkai, Kazuhisa Ikeda, Norihisa Komoda, Akira Yamane, Isao Tone:
Sequential Control Logic Inferring Method from Observed Plant I/O Data.
449-460
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- Gongxian Cheng, Kwawen Cho, Xiaohui Liu, George Loizou, John Xingwang Wu:
Evaluating an Eye Screening Test.
461-472
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- José Manuel Peña, Sylvain Létourneau, Fazel Famili:
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure.
473-486
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Section VI:
Media Mining
Copyright © Sat May 16 23:22:08 2009
by Michael Ley (ley@uni-trier.de)
