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ORCID5. IDA 2003: Berlin, Germany
- Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt:
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 - Vanessa 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, 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, Sándor Zoltán 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, Shiv Dutt 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
- Agnes Boskovitz, Rajeev Goré, Markus Hegland:
A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning. 554-565 - Ahlame Douzal Chouakria:
Compression Technique Preserving Correlations of a Multivariate Temporal Sequence. 566-577 - François Rioult, Bruno Crémilleux:
Condensed Representations in Presence of Missing Values. 578-588 - Elena Montañés, Javier Fernández, Irene Díaz, Elías F. Combarro, José Ranilla:
Measures of Rule Quality for Feature Selection in Text Categorization. 589-598 - Leila Shila Shafti, Eduardo Pérez:
Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation. 599-610 - Yasusi Sinohara, Teruhisa Miura:
Active Feature Selection Based on a Very Limited Number of Entities. 611-622
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