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Advances in Intelligent Data Analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Adams, Niall M. (Editor ), Robardet, Céline (Editor ), Siebes, Arno (Editor ), Boulicaut, Jean-Francois (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
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.