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Classification, Data Analysis, and Data Highways: Proceedings of the 21st Annual Conference of the Gesellschaft für Klassifikation e.V., University of Potsdam, March 12–14, 1997: Studies in Classification, Data Analysis, and Knowledge Organization

Editat de Ingo Balderjahn, Rudolf Mathar, Martin Schader
en Limba Engleză Paperback – 19 feb 1998

Din seria Studies in Classification, Data Analysis, and Knowledge Organization

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Specificații

ISBN-13: 9783540639091
ISBN-10: 3540639098
Pagini: 428
Ilustrații: IX, 414 p. 25 illus.
Dimensiuni: 170 x 242 x 22 mm
Greutate: 0.68 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1: Classification and Data Analysis.- Entropy Optimizing Methods for the Estimation of Tables.- Automatic Spectral Classification.- An Approach to Modelling Directional and Betweenness Data.- The Application of Random Coincidence Graphs for Testing the Homogeneity of Data.- City-Block Scaling: Smoothing Strategies for Avoiding Local Minima.- Probability Models and Limit Theorems for Random Interval Graphs with Applications to Cluster Analysis.- Labor Supply Decisions in Germany A Semiparametric Regression Analysis.- A Multiplicative Approach to Partitioning the Risk of Disease.- Multiple Media Stream Data Analysis: Theory and Applications.- Multimedia Data Analysis using ImageTcl.- Robust Bivariate Boxplots and Visualization of Multivariate Data.- Unsupervised Fuzzy Classification of Multispectral Imagery Using Spatial-Spectral Features.- 2: Mathematical and Statistical Methods.- Some News about C.A.MAN Computer Assisted Analysis of Mixtures.- Mathematical Aspects of the Feature Pattern Analysis.- A Note on the Off-Block-Diagonal Approximation of the Burt Matrix as Applied in Joint Correspondence Analysis.- A New Look at the Visual Performance of Nonparametric Hazard Rate Estimators.- Multilevel Modeling: When and Why.- Upper Bounds for the P-Values of a Scan Statistic with a Variable Window.- A Branch-and-bound Algorithm for Boolean Regression.- Mathematical Classification and Clustering: From How to What and Why.- Heteroskedastic Linear Regression Models — A Bayesian Analysis.- A Heuristic Partial-Least-Squares Approach to Estimating Dynamic Path Models.- 3: World Wide Web and the Internet.- Using Logic for the Specification of Hypermedia Documents.- Project TeleTeaching Mannheim — Heidelberg.- WWW-Access to Relational Databases.- Technology, Data, Relevancy: ACulture-Theoretical Look at the Internet.- Self-Organizing Maps of Very Large Document Collections: Justification for the WEBSOM Method.- Segment-Specific Aspects of Designing Online Services in the Internet.- Design of World Wide Web Information Systems.- Large WWW Systems: New Phenomena, Problems and Solutions.- Structured Visualization of Search Result List.- 4: Speech and Pattern Recognition.- Application of Discriminative Methods for Isolated Word Recognition.- Statistical Classifiers in Computer Vision.- Speech Signal Classification with Hybrid Systems.- Stochastic Modelling of Knowledge Sources in Automatic Speech Recognition.- Classification of Speech Pattern Using Locally Recurrent Neural Networks.- 5: Knowledge and Databases.- Information Gathering for Vague Queries Using Case Retrieval Nets.- Characterizing Bibliographic Databases by Content an Experimental Approach.- Medoc Searching Heterogeneous Bibliographic and Text Databases.- Supervised Learning with Qualitative and Mixed Attributes.- 6: Marketing.- A Comparison of Traditional Segmentation Methods with Segmentation Based upon Artificial Neural Networks by Means of Conjoint Data from a Monte-Carlo-Simulation.- Classification of Pricing Strategies in a Competitive Environment.- Predicting the Amount of Purchase by a Procedure Using Multidimensional Scaling: An Application to Scanner Data on Beer.- Author and Subject Index.

Caracteristici

The book contains recent developments and cross-disciplinary advances and results in the fields of data analysis and clustering methods, information sciences and database techniques.