Advances in Intelligent Data Analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut.

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Adams, Niall M. (Editor), Robardet, Céline (Editor), Siebes, Arno (Editor), Boulicaut, Jean-Francois (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:	1st ed. 2009.
Series:	Information Systems and Applications, incl. Internet/Web, and HCI ; 5772 Springer eBook Collection.
Subjects:	Computers. Information storage and retrieval. Data mining. Pattern recognition. Data structures (Computer science). Information technology. Business—Data processing. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

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.

Advances in Intelligent Data Analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut.

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