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ORCID8. IDA 2009: Lyon, France
- Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut:
Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings. Lecture Notes in Computer Science 5772, Springer 2009, ISBN 978-3-642-03914-0
Invited Papers
- Paul R. Cohen, Niall M. Adams:
Intelligent Data Analysis in the 21st Century. 1-9 - Pablo Jensen:
Analyzing the Localization of Retail Stores with Complex Systems Tools. 10-20
Selected Contributions 1 (Long Talks)
- Tamraparni Dasu, Shankar Krishnan, Dongyu Lin, Suresh Venkatasubramanian
, Kevin Yi:
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. 21-34 - Sergio Rodrigues de Morais, Alex Aussem:
Exploiting Data Missingness in Bayesian Network Modeling. 35-46 - Stephen L. France, J. Douglas Carroll:
DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables. 47-58 - Martin Hahmann, Peter Benjamin Volk, Frank Rosenthal, Dirk Habich, Wolfgang Lehner:
How to Control Clustering Results? Flexible Clustering Aggregation. 59-70 - Frank Höppner, Frank Klawonn:
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. 71-82 - Dino Ienco, Ruggero G. Pensa, Rosa Meo:
Context-Based Distance Learning for Categorical Data Clustering. 83-94 - Eric P. Jiang:
Semi-supervised Text Classification Using RBF Networks. 95-106 - Manuel Martín-Merino, Javier De Las Rivas:
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles. 107-118 - Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer:
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. 119-130 - Costas Panagiotakis, Nikos Pelekis, Ioannis Kopanakis:
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases. 131-142 - Anju G. Parvathy, Bintu G. Vasudevan, Abhishek Kumar, Rajesh Balakrishnan:
Leveraging Call Center Logs for Customer Behavior Prediction. 143-154 - Marc Plantevit, Bruno Crémilleux:
Condensed Representation of Sequential Patterns According to Frequency-Based Measures. 155-166 - Elena P. Sapozhnikova:
ART-Based Neural Networks for Multi-label Classification. 167-177 - Eerika Savia, Kai Puolamäki, Samuel Kaski:
Two-Way Grouping by One-Way Topic Models. 178-189 - Emma Steele, Allan Tucker:
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks. 190-201 - Grégory Thibault, Alex Aussem, Stéphane Bonnevay:
Incremental Bayesian Network Learning for Scalable Feature Selection. 202-212 - Janne Toivola, Jaakko Hollmén:
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. 213-224 - Alexander Borisov, George C. Runger, Eugene Tuv, Nuttha Lurponglukana-Strand:
Zero-Inflated Boosted Ensembles for Rare Event Counts. 225-236
Selected Contributions 2 (Short Talks)
- Michele Berlingerio, Michele Coscia, Fosca Giannotti:
Mining the Temporal Dimension of the Information Propagation. 237-248 - Albert Bifet, Ricard Gavaldà:
Adaptive Learning from Evolving Data Streams. 249-260 - James Cain, Steve Counsell, Stephen Swift, Allan Tucker:
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. 261-272 - Alpha Diallo, Ahlame Douzal Chouakria, Françoise Giroud:
Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?. 273-284 - Claudia Diamantini, Domenico Potena, Emanuele Storti:
Ontology-Driven KDD Process Composition. 285-296 - Lisa Di-Jorio, Anne Laurent, Maguelonne Teisseire:
Mining Frequent Gradual Itemsets from Large Databases. 297-308 - Frank Eichinger, Klemens Böhm:
Selecting Computer Architectures by Means of Control-Flow-Graph Mining. 309-320 - Kenny Gruchalla, Mark Rast, Elizabeth Bradley, John P. Clyne, Pablo D. Mininni:
Visualization-Driven Structural and Statistical Analysis of Turbulent Flows. 321-332 - Petr Krajca, Vilém Vychodil:
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework. 333-344 - Jian Li, Stephen Swift, Xiaohui Liu:
Multi-Optimisation Consensus Clustering. 345-356 - Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. 357-368 - Nikolay G. Zagoruiko:
Measure of Similarity and Compactness in Competitive Space. 369-380 - Kai Puolamäki, Samuel Kaski:
Bayesian Solutions to the Label Switching Problem. 381-392 - Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin:
Efficient Vertical Mining of Frequent Closures and Generators. 393-404 - Rémon van de Kamp, Ad Feelders, Nicola Barile:
Isotonic Classification Trees. 405-416
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