Advances in Intelligent Data Analysis VIII  8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings /  [electronic resource] : 
edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut. 
 - 1st ed. 2009. 
 - XIII, 418 p.  online resource. 
 - Information Systems and Applications, incl. Internet/Web, and HCI,  5772  2946-1642 ; .
 - Information Systems and Applications, incl. Internet/Web, and HCI,  5772 .
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783642039157 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-03915-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Information storage and retrieval systems.<br/>Data mining.<br/>Pattern recognition systems.<br/>Artificial intelligence--Data processing.<br/>Business information services.<br/>Theory of Computation.<br/>Information Storage and Retrieval.<br/>Data Mining and Knowledge Discovery.<br/>Automated Pattern Recognition.<br/>Data Science.<br/>IT in Business.
<br/><br/><label>LC Class. No.: </label>QA75.5-76.95 
<br/><br/><label>Dewey Class. No.: </label>004.0151