5. IDA 2003:
Berlin,
Germany
Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (Eds.):
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings.
Lecture Notes in Computer Science 2810 Springer 2003, ISBN 3-540-40813-4 
Machine Learning
- A. J. Feelders, Martijn Pardoel:
Pruning for Monotone Classification Trees.
1-12
- Eyke Hüllermeier:
Regularized Learning with Flexible Constraints.
13-24
- Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer:
Learning to Answer Emails.
25-35
- Axel Großmann, Matthias Wendt, Jeremy Wyatt:
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions.
36-47
- Ljupco Todorovski, Saso Dzeroski:
Using Domain Specific Knowledge for Automated Modeling.
48-59
- Tony Lindgren, Henrik Boström:
Resolving Rule Conflicts with Double Induction.
60-67
- Chi-Chun Huang, Hahn-Ming Lee:
A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure.
68-75
- Thomas R. Gabriel, Michael R. Berthold:
Constructing Hierarchical Rule Systems.
76-87
- In-Cheol Kim, Soon-Hee Myoung:
Text Categorization Using Hybrid Multiple Model Schemes.
88-99
Probability and Topology
- Allan Tucker, Xiaohui Liu:
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies.
100-110
- V. Robins, Jennifer Abernethy, N. Rooney, Elizabeth Bradley:
Topology and Intelligent Data Analysis.
111-122
- Giulianella Coletti, Romano Scozzafava:
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events.
123-133
- Paul R. Cohen, Charles A. Sutton:
Very Predictive Ngrams for Space-Limited Probabilistic Models.
134-142
- Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez:
Interval Estimation Naïve Bayes.
143-154
- Peter Mutschke:
Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks.
155-166
Classification and Pattern Recognition
- Peter Geibel, Ulf Brefeld, Fritz Wysotzki:
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.
167-178
- Boris Kryzhanovsky, Leonid B. Litinskii, Anatoly B. Fonarev:
An Effective Associative Memory for Pattern Recognition.
179-186
- Axel E. Bernal, Karen Hospevian, Tayfun Karadeniz, Jean-Louis Lassez:
Similarity Based Classification.
187-197
- Fernando Berzal Galiano, Juan C. Cubero, Nicolás Marín, Daniel Sánchez:
Numerical Attributes in Decision Trees: A Hierarchical Approach.
198-207
- Igor Fischer:
Similarity-Based Neural Networks for Applications in Computational Molecular Biology.
208-218
- Petr Savický, Johannes Fürnkranz:
Combining Pairwise Classifiers with Stacking.
219-229
- Branko Kavsek, Nada Lavrac, Viktor Jovanoski:
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
230-241
- Mihai Oltean, Crina Grosan:
Solving Classification Problems Using Infix Form Genetic Programming.
242-253
Clustering
- Frank Klawonn, Frank Höppner:
What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier.
254-264
- Allou Samé, Christophe Ambroise, Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering.
265-274
- János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva:
Fuzzy Clustering Based Segmentation of Time-Series.
275-285
- Peter Merz:
An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering.
286-296
- Chun-Hung Tzeng, Fu-Shing Sun:
Data Clustering in Tolerance Space.
297-306
- Hanan Ayad, Mohamed S. Kamel:
Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings.
307-318
- Dimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy, Yannis Manolopoulos:
Clustering Mobile Trajectories for Resource Allocation in Mobile Environments.
319-329
- Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer:
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points.
330-340
- Elena V. Samsonova, Thomas Bäck, Margot W. Beukers, Adriaan P. IJzerman, Joost N. Kok:
Combining and Comparing Cluster Methods in a Receptor Database.
341-351
Applications
- Hiroshi Mamitsuka:
Selective Sampling with a Hierarchical Latent Variable Model.
352-363
- Paul O'Neill, George D. Magoulas, Xiaohui Liu:
Obtaining Quality Microarray Data via Image Reconstruction.
364-375
- Heiko Hofer, Christian Borgelt, Michael R. Berthold:
Large Scale Mining of Molecular Fragments with Wildcards.
376-385
- Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev:
Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.
386-396
- Liliana Ironi, Stefania Tentoni:
Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation.
397-408
- Ashwani Kumar, D. P. Agrawal, S. D. Joshi:
Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market.
409-417
- Christine Steinhoff, Tobias Müller, Ulrike A. Nuber, Martin Vingron:
Gaussian Mixture Density Estimation Applied to Microarray Data.
418-429
- Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu:
Classification of Protein Localisation Patterns via Supervised Neural Network Learning.
430-439
- Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker:
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software.
440-450
- Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers:
The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction.
451-461
Modeling
- Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
A Multiagent-Based Constructive Approach for Feedforward Neural Networks.
462-473
- Ingo Renners, Adolf Grauel:
Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems.
474-485
- Grace W. Rumantir, Chris S. Wallace:
Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting.
486-496
- Susana Vegas-Azcárate, Jorge Muruzábal:
On the Use of the GTM Algorithm for Mode Detection.
497-508
- Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Regularization Methods for Additive Models.
509-520
- Toni M. Rath, Maximo Carreras, Paola Sebastiani:
Automated Detection of Influenza Epidemics with Hidden Markov Models.
521-532
- Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen:
Guided Incremental Construction of Belief Networks.
533-543
- Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Distributed Regression for Heterogeneous Data Sets.
544-553
(Data) Preprocessing
Copyright © Sun Nov 8 02:38:15 2009
by Michael Ley (ley@uni-trier.de)
