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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Adams, Niall M. (Επιμελητής έκδοσης), Robardet, Céline (Επιμελητής έκδοσης), Siebes, Arno (Επιμελητής έκδοσης), Boulicaut, Jean-François (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5772
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Data structures (Computer science).; Computers.; Data mining.; Information storage and retrieval.; Pattern recognition.; Computer Science.; Theory of Computation.; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.; Pattern Recognition.; Data Structures.; IT in Business.

Πίνακας περιεχομένων:

• 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.