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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: R. Berthold, Michael (Επιμελητής έκδοσης), Shawe-Taylor, John (Επιμελητής έκδοσης), Lavrač, Nada (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4723
• Θέματα: Computer science.; Mathematical statistics.; Database management.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Application software.; Computer Science.; Database Management.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Probability and Statistics in Computer Science.; Pattern Recognition.; Computer Appl. in Administrative Data Processing.

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 19...

Πίνακας περιεχομένων:

• 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.