Advances in Intelligent Data Analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings /
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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Edición: | 1st ed. 2009. |
Colección: | Information Systems and Applications, incl. Internet/Web, and HCI ;
5772 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Papers
- Intelligent Data Analysis in the 21st Century
- Analyzing the Localization of Retail Stores with Complex Systems Tools
- Selected Contributions 1 (Long Talks)
- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
- Exploiting Data Missingness in Bayesian Network Modeling
- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
- How to Control Clustering Results? Flexible Clustering Aggregation
- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
- Context-Based Distance Learning for Categorical Data Clustering
- Semi-supervised Text Classification Using RBF Networks
- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
- Leveraging Call Center Logs for Customer Behavior Prediction
- Condensed Representation of Sequential Patterns According to Frequency-Based Measures
- ART-Based Neural Networks for Multi-label Classification
- Two-Way Grouping by One-Way Topic Models
- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
- Incremental Bayesian Network Learning for Scalable Feature Selection
- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
- Zero-Inflated Boosted Ensembles for Rare Event Counts
- Selected Contributions 2 (Short Talks)
- Mining the Temporal Dimension of the Information Propagation
- Adaptive Learning from Evolving Data Streams
- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
- Ontology-Driven KDD Process Composition
- Mining Frequent Gradual Itemsets from Large Databases
- Selecting Computer Architectures by Means of Control-Flow-Graph Mining
- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
- Multi-Optimisation Consensus Clustering
- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
- Measure of Similarity and Compactness in Competitive Space
- Bayesian Solutions to the Label Switching Problem
- Efficient Vertical Mining of Frequent Closures and Generators
- Isotonic Classification Trees.