Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.
Author(s): Jaakko Hollmén, Jarkko Tikka (auth.), Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (eds.)
Series: Lecture Notes in Computer Science 4723
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Language: English
Pages: 382
Tags: Information Storage and Retrieval; Artificial Intelligence (incl. Robotics); Probability and Statistics in Computer Science; Pattern Recognition; Computer Appl. in Administrative Data Processing; Business Information Systems
Front Matter....Pages -
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions....Pages 1-12
Multiplicative Updates for L 1 –Regularized Linear and Logistic Regression....Pages 13-24
Learning to Align: A Statistical Approach....Pages 25-36
Transductive Reliability Estimation for Kernel Based Classifiers....Pages 37-47
Parameter Learning for Bayesian Networks with Strict Qualitative Influences....Pages 48-58
Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management....Pages 59-69
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation....Pages 70-80
Visualising the Cluster Structure of Data Streams....Pages 81-92
Relational Topographic Maps....Pages 93-105
Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification....Pages 106-117
Combining Bagging and Random Subspaces to Create Better Ensembles....Pages 118-129
Two Bagging Algorithms with Coupled Learners to Encourage Diversity....Pages 130-139
Relational Algebra for Ranked Tables with Similarities: Properties and Implementation....Pages 140-151
A New Way to Aggregate Preferences: Application to Eurovision Song Contests....Pages 152-162
Conditional Classification Trees Using Instrumental Variables....Pages 163-173
Robust Tree-Based Incremental Imputation Method for Data Fusion....Pages 174-183
Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data....Pages 184-194
Recurrent Predictive Models for Sequence Segmentation....Pages 195-206
Sequence Classification Using Statistical Pattern Recognition....Pages 207-218
Subrule Analysis and the Frequency-Confidence Diagram....Pages 219-228
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables....Pages 229-239
Visualizing Sets of Partial Rankings....Pages 240-251
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization....Pages 252-262
Landscape Multidimensional Scaling....Pages 263-273
A Support Vector Machine Approach to Dutch Part-of-Speech Tagging....Pages 274-283
Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering....Pages 284-295
Does SVM Really Scale Up to Large Bag of Words Feature Spaces?....Pages 296-307
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers....Pages 308-319
Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences....Pages 320-331
Soft Topographic Map for Clustering and Classification of Bacteria....Pages 332-343
Fuzzy Logic Based Gait Classification for Hemiplegic Patients....Pages 344-354
Traffic Sign Recognition Using Discriminative Local Features....Pages 355-366
Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression....Pages 367-378
Back Matter....Pages -
