8. IDA 2009: Lyon, France

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 France, 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 Clyne, Pablo 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