8. IDA 2009:
Lyon,
France
Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut (Eds.):
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
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 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
Last update Wed Feb 15 05:08:11 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
