Advances in Intelligent Data Analysis VII: 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings

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Springer Science & Business Media, Aug 28, 2007 - Business & Economics - 380 pages
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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.
 

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Contents

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
1
Multiplicative Updates for L1Regularized Linear and Logistic Regression
13
A Statistical Approach
25
Transductive Reliability Estimation for Kernel Based Classifiers
37
Parameter Learning for Bayesian Networks with Strict Qualitative Influences
48
Using Mixtures of Truncated Exponentials Application to Higher Education Management
59
Fast Clustering Based on Kernel Density Estimation
70
Streams
81
Recognition
207
Diagram
219
for Causal Structure Discovery with Continuous Variables
229
Visualizing Sets of Partial Rankings
240
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization
252
Landscape Multidimensional Scaling
263
A Support Vector Machine Approach to Dutch PartofSpeech Tagging
274
Histograms and Contexts in Text Data Clustering
284

Relational Topographic Maps
93
Systems Using Correction Filters for Classification
106
Combining Bagging and Random Subspaces to Create Better Ensembles
118
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
130
Properties and Implementation
140
Application to Eurovision Song Contests
152
Conditional Classification Trees Using Instrumental Variables
163
Robust TreeBased Incremental Imputation Method for Data Fusion
174
Pseudo TimeSeries for the Temporal Analysis of Cross Section Data
184
Recurrent Predictive Models for Sequence Segmentation
195
Does SVM Really Scale Up to Large Bag of Words Feature Spaces?
296
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers
308
Motif Discovery Using MultiObjective Genetic Algorithm in Biosequences
320
Soft Topographic Map for Clustering and Classification of Bacteria
332
Fuzzy Logic Based Gait Classification for Hemiplegic Patients
344
Local Features
355
Experiments with Measures Based on Text Compression
367
Author Index
379
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About the author (2007)

This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.

The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.