From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005

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Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul
Springer Science & Business Media, Apr 20, 2006 - Language Arts & Disciplines - 761 pages
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This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

 

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Contents

Boosting and l1Penalty Methods for Highdimensional Data
1
Fellner and S Havemann
14
Selected Data Mining Techniques and Applications
32
Text Mining in Action
52
Kernels for Predictive Graph Mining
75
Latent Class Analysis and Model Selection
95
A Wrapper Feature Selection Method
119
The Wavelet Packet Based Cepstral Features
134
Evaluating the Performance of Text Mining Systems
414
Near Similarity Search and Plagiarism Analysis
430
Understanding and Controlling the Membership Degrees
446
Outlier Preserving Clustering for Structured Data Through Kernels
462
Classificationrelevant Importance Measures
470
An Overview of Artificial Life Approaches for Clustering
486
Traffic Sensitivity of Longterm Regional Growth Forecasts W Polasek and H Berrer
502
Analysis of the Economic Development of Districts in Poland
518

A Comparison of Validation Methods
150
Modelbased Density Estimation by Independent Factor Analysis
166
Gene Selection in Classification Problems
182
A Statistical View
214
The Partial Robust Mapproach
230
Hierarchical Clustering by Means of Model Grouping
246
Robust Transformations and Outlier Detection
262
Finding Persisting States for Knowledge Discovery in Time Series
278
Hausman Principal Component Analysis
294
Word Length and Frequency Distributions in Different Text Genres
310
Automatic Extension of Featurebased Semantic Lexicons
326
Discovering Communities in Linked Data by Multiview Clustering
342
Using String Kernels for Classification of Slovenian Web Documents
358
Semantic Decomposition of Character Encodings
366
The Impact of Sentence Length
382
Text Classification with Active Learning
398
Modeling and Estimating the Credit Cycle
534
Value at Risk Using the Principal Components Analysis
550
A Market Basket Analysis
558
Modeling the Nonlinear Relationship Between Satisfaction and Loyalty
574
Semiparametric Stepwise Regression
590
Copula Functions in Model Based Clustering
606
Towards a Flexible Framework for Open Source Software
622
Labelling and Authentication for Medical Imaging
638
A Crosscultural Evaluation Framework
654
Tests for Multiple Change Points in Binary Markov Sequences
670
A Ridge Classification Method for Highdimensional Observations
684
Variable Selection for Discrimination
700
Heart Rate Classification Using Support Vector Machines
716
Modeling Memory for Melodies
732
Data Mining Competition
748
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