Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings (Google eBook)

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Niall M. Adams, CÚline Robardet, Arno Siebes, Jean-Francois Boulicaut
Springer Science & Business Media, Aug 17, 2009 - Business & Economics - 418 pages
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The general theme of the Intelligent Data Analysis (IDA) Symposia is the - telligent use of computers in complex data analysis problems. The ?eld has matured su?ciently that some re-considerationof our objectives was required in order to retain the distinctiveness of IDA. Thus, in addition to the more tra- tional algorithm- and application-oriented submissions, we sought submissions that speci?cally focus on aspects of the data analysis process. For example, - teractive tools to guide and support data analysis in complex scenarios. With the increasingavailabilityofautomaticallycollecteddata,toolsthatintelligently support and assist human analysts are becoming important. IDA-09, the 8th International Symposium on Intelligent Data Analysis, took place in Lyon from August 31 to September 2, 2009. The invited speakers were PaulCohen(UniversityofArizona,USA)andPabloJensen(ENSLyon,France). The meeting received more than 80 submissions. The Programme Committee selected 33 submissions for publication: 18 for full oral presentation, and 15 for poster and short oralpresentation. Eachcontribution was evaluated by three expertsandhas beenallocated12pagesintheproceedings.Theacceptedpapers cover a broad range of topics and applications, and include contributions on the re?ned focus of IDA.
  

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Contents

Intelligent Data Analysis in the 21st Century
1
Analyzing the Localization of Retail Stores with Complex Systems Tools
10
Finding Distributional Shifts in Data Streams
21
Exploiting Data Missingness in Bayesian Network Modeling
35
Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
47
How to Control Clustering Results? Flexible Clustering Aggregation
59
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
71
ContextBased Distance Learning for Categorical Data Clustering
83
ZeroInflated Boosted Ensembles for Rare Event Counts
225
Mining the Temporal Dimension of the Information Propagation
237
Adaptive Learning from Evolving Data Streams
249
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
261
Which Distance for the Identification and the Differentiation of CellCycle Expressed Genes?
273
OntologyDriven KDD Process Composition
285
Mining Frequent Gradual Itemsets from Large Databases
297
Selecting Computer Architectures by Means of ControlFlowGraph Mining
309

Semisupervised Text Classification Using RBF Networks
95
Improving kNN for Human Cancer Classification Using the Gene Expression Profiles
107
A Novel Approach and Its Application to Breast Cancer Diagnosis
119
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
131
Leveraging Call Center Logs for Customer Behavior Prediction
143
Condensed Representation of Sequential Patterns According to FrequencyBased Measures
155
ARTBased Neural Networks for Multilabel Classification
167
TwoWay Grouping by OneWay Topic Models
178
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
190
Incremental Bayesian Network Learning for Scalable Feature Selection
202
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
213
VisualizationDriven Structural and Statistical Analysis of Turbulent Flows
321
Distributed Algorithm for Computing Formal Concepts Using MapReduce Framework
333
MultiOptimisation Consensus Clustering
345
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
357
Measure of Similarity and Compactness in Competitive Space
369
Bayesian Solutions to the Label Switching Problem
381
Efficient Vertical Mining of Frequent Closures and Generators
393
Isotonic Classification Trees
405
Author Index
417
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