Advances in Intelligent Data Analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings / edited by Michael R. Berthold, John Shawe-Taylor, Nada Lavrač.

Format:

Book

Contributor:

Berthold, M. (Michael), editor.

Shawe-Taylor, John, editor.

Lavrač, Nada, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 4723.

Information Systems and Applications, incl. Internet/Web, and HCI ; 4723

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Information storage and retrieval.

Mathematical statistics.

Pattern perception.

Application software.

Database Management.

Artificial Intelligence.

Information Storage and Retrieval.

Probability and Statistics in Computer Science.

Pattern Recognition.

Computer Appl. in Administrative Data Processing.

Local Subjects:

Database Management.

Artificial Intelligence.

Information Storage and Retrieval.

Probability and Statistics in Computer Science.

Pattern Recognition.

Computer Appl. in Administrative Data Processing.

Physical Description:

1 online resource (XIV, 382 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

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.

Contents:

Statistical Data Analysis

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions

Multiplicative Updates for L 1-Regularized Linear and Logistic Regression

Learning to Align: A Statistical Approach

Transductive Reliability Estimation for Kernel Based Classifiers

Bayesian Approaches

Parameter Learning for Bayesian Networks with Strict Qualitative Influences

Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management

Clustering Methods

DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation

Visualising the Cluster Structure of Data Streams

Relational Topographic Maps

Ensemble Learning

Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification

Combining Bagging and Random Subspaces to Create Better Ensembles

Two Bagging Algorithms with Coupled Learners to Encourage Diversity

Ranking

Relational Algebra for Ranked Tables with Similarities: Properties and Implementation

A New Way to Aggregate Preferences: Application to Eurovision Song Contests

Trees

Conditional Classification Trees Using Instrumental Variables

Robust Tree-Based Incremental Imputation Method for Data Fusion

Sequence/ Time Series Analysis

Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data

Recurrent Predictive Models for Sequence Segmentation

Sequence Classification Using Statistical Pattern Recognition

Knowledge Discovery

Subrule Analysis and the Frequency-Confidence Diagram

A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables

Visualization

Visualizing Sets of Partial Rankings

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization

Landscape Multidimensional Scaling

Text Mining

A Support Vector Machine Approach to Dutch Part-of-Speech Tagging

Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering

Does SVM Really Scale Up to Large Bag of Words Feature Spaces?

Bioinformatics

Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers

Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences

Soft Topographic Map for Clustering and Classification of Bacteria

Applications

Fuzzy Logic Based Gait Classification for Hemiplegic Patients

Traffic Sign Recognition Using Discriminative Local Features

Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression.

Other Format:

Printed edition:

ISBN:

978-3-540-74825-0

9783540748250

Access Restriction:

Restricted for use by site license.