Data Analysis: Scientific Modeling and Practical Application

Front Cover
Wolfgang A. Gaul, Otto Opitz, Martin Schader
Springer Science & Business Media, Dec 6, 2012 - Business & Economics - 528 pages
"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.
 

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Contents

Clustering Relational Data
3
An Iterative Relocation Algorithm for Classifying
16
Classification and Clustering of Objects With Variants 41
40
Clustering and Classification Based on Expert Knowledge
67
Unobserved Heterogeneity in Mean and Covariance
80
Average Consensus in Numerical Taxonomy
95
On a Framework for Dissimilarity Analysis 121
120
LeastSquares Ultrametric Tree Representations
135
Intelligent Data Modeling Based
272
Generalized Impulse Response Functions
299
A New Geometrical Hypothesis for Partitioning
313
An Algorithm for PositiveBreakdown Regression
335
A Geometrical Relational Model for Data Analysis 359
358
Robust Clustering
385
Frequent Generalized Subsequences
429
A Next Generation Recommender System Based
446

Testing for Antimodes
169
A Classification of Bivariate Negative Binomial
182
Robust Forecasting of Parametric Trend of Time Series
197
Contiguity Analysis and Classification
233
Applied Bayesian Data Analysis Using StateSpace Models
259
Synergy in Drug Combinations 471
470
Statistics and Data Analysis in Market Risk Measurement
487
Visualization of Multivariate Data by Scaling
505
Selected Publications of HansHermann Bock
525
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