Advances in Intelligent Data Analysis VII

7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings
2007
ISBN: 978-3-540-74824-3
Verlag: Springer

Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 611 g

Reihe: Information Systems and Applications, incl. Internet/Web, and HCI

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.

Zielgruppe

Research

Autoren/Hrsg.

Berthold, Michael R.

Shawe-Taylor, John

Lavrac, Nada

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Verwaltungspraxis Public Management
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

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 Algorithmfor 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.