Advances in Intelligent Data Analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 2007 Proceedings

by Berthold, Michael R.; Shawe-Taylor, John; Lavrac, Nada

• ISBN13: 9783540748243
• ISBN10: 3540748245
• Format: Paperback
• Copyright: 2007-10-11
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Analysis, IDA 2007, held in Ljubljana, Slovenia. The 33 revised papers were carefully reviewed and selected from almost 100 submissions. The book covers all current aspects of this interdisciplinary field, including statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Table of Contents

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions	p. 1
Multiplicative Updates for L[subscript 1]-Regularized Linear and Logistic Regression	p. 13
Learning to Align: A Statistical Approach	p. 25
Transductive Reliability Estimation for Kernel Based Classifiers	p. 37
Parameter Learning for Bayesian Networks with Strict Qualitative Influences	p. 48
Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management	p. 59
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation	p. 70
Visualising the Cluster Structure of Data Streams	p. 81
Relational Topographic Maps	p. 93
Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification	p. 106
Combining Bagging and Random Subspaces to Create Better Ensembles	p. 118
Two Bagging Algorithms with Coupled Learners to Encourage Diversity	p. 130
Relational Algebra for Ranked Tables with Similarities: Properties and Implementation	p. 140
A New Way to Aggregate Preferences: Application to Eurovision Song Contests	p. 152
Conditional Classification Trees Using Instrumental Variables	p. 163
Robust Tree-Based Incremental Imputation Method for Data Fusion	p. 174
Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data	p. 184
Recurrent Predictive Models for Sequence Segmentation	p. 195
Sequence Classification Using Statistical Pattern Recognition	p. 207
Subrule Analysis and the Frequency-Confidence Diagram	p. 219
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables	p. 229
Visualizing Sets of Partial Rankings	p. 240
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization	p. 252
Landscape Multidimensional Scaling	p. 263
A Support Vector Machine Approach to Dutch Part-of-Speech Tagging	p. 274
Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering	p. 284
Does SVM Really Scale Up to Large Bag of Words Feature Spaces?	p. 296
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers	p. 308
Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences	p. 320
Soft Topographic Map for Clustering and Classification of Bacteria	p. 332
Fuzzy Logic Based Gait Classification for Hemiplegic Patients	p. 344
Traffic Sign Recognition Using Discriminative Local Features	p. 355
Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression	p. 367
Author Index	p. 379
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