Between Data Science and Applied Data Analysis: Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002

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Martin Schader, Wolfgang A. Gaul, Maurizio Vichi
Springer Science & Business Media, Dec 6, 2012 - Computers - 694 pages

The volume presents new developments in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are clustering, discrimination, data analysis, and statistics, as well as applications in economics, biology, and medicine it provides recent technical and methodological developments and a large number of application papers demonstrating the usefulness of the newly developed techniques.

 

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Contents

Robust Classification Through the Forward Search
3
Interaction Terms in Nonlinear PLS via Additive Spline
22
Efficient Density Clustering Using Basin Spanning Trees
39
Scalable Clustering of High Dimensional Data
57
CoreBased Clustering Techniques
74
Implementing a new Method for Discriminant Analysis
92
Improving the Classification Performance of a Discriminant
109
Cluster and Discriminant Analysis With Both Metric
127
Extreme Datamining
387
Analyzing Learner Behavior and Performance
405
Comparing Simple AssociationRules and RepeatBuying Based
421
The so far Missing Link UserFriendly
438
Vector Quantization in Learning
456
Syntagmatic and Paradigmatic Associations in Information
473
Internet Thesaurus Extracting Relevant Terms from
492
Simulated Annealing and Tabu Search for Optimization
510

Maximizing
143
A Bayesian Approach for the Estimation of the Covariance
165
Some Applications of TimeVarying Coefficient Models
182
A Dimensionality Reduction Method Based on Simple Linear
201
Principal Component Analysis of Boolean Symbolic Objects
218
How Wrong Models Become Useful and Correct Models
235
LBGUEM Algorithm for Mixture Density Estimation
252
Compare and Contrast
270
New Graphical Symbolic Objects Representations in Parallel
288
Prediction Optimal Data Analysis by Means of Stochastic
305
The
321
Some Statistical Issues in Microarray Data Analysis
337
Neural Budget Networks of Sensorial Data 369
368
Multimedia Stimulus Presentation Methods for Conjoint
530
Estimation of Default Probabilities in a SingleFactor Model
546
Simultaneous Confidence Intervals for Default Probabilities
555
Classification of Multivariate Data With Missing Values
570
Developing a Layout of a Supermarket Through Asymmetric
587
Comparing
604
I Textual
624
Power Functions in Multiple Sampling Plans Using
643
Methodological Issues in the Baffling Relationship
652
Efficient Clustering Methods for Tumor Classification With
670
Index
689
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