Titre :	Data Analysis : scientific modeling and practical application
Type de document :	texte imprime
Auteurs :	Wolfgang Gaul ; M Schader Otto Opitz
Editeur :	Berlin : Springer
Année de publication :	2000.
Collection :	Studies in classification, data analysis, and knowledge organization
Importance :	527p.
Présentation :	ill.
Format :	24 cm
ISBN/ISSN/EAN :	978-3-540-67731-4
Note générale :	Includes bibliographical references and index voir une version plus récente dans URL associée
Langues :	Anglais
Mots-clés :	Bock, Hans Hermann  Statistics  Classification  Information storage and retrieval systems
Résumé :	"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.
Note de contenu :	Machine derived contents note Classification: V. Batagelj, A. Ferligoj Clustering Relational Data.-A. Gordon An Iterative Relocation Algorithm for Classifiying Symbolic Data.-R. Kiel, M. Schader Automatic Classification with Classifying Automata.-G. Ritter Classification and Clustering of Objects with Variants.-D. Vicari, M. Vichi Non-Hierarchical Classification Structures.-M. Yacoub, D. Frayssinet, F. Badran, S. Thiria Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map.-Data Analysis: G. Arminger, J. Wittenberg Unobserved Heterogeneity in Mean- and Covariance Structure Models.-J.-P. Barthl?emy, F. Brucker Average Consensus in Numerical Taxonomy and some Generalizations.- H. Bozdogan Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria.-F. Critchley On an Framework for Dissimilarity Analysis.-G. De Soete, J. Daws: Least-Squares Ultrametric Tree Representations of Three-Way One-Mode Proximity Data.- E.Diday, Y. Lechevallier From Data Mining to Knowledge Mining An Introduction to Symbolic Data Analysis.-O. Gascuel Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees.-J.A. Hartigan Testing for Antimodes.-P. Ihm: A classification of Bivariate Negative Binomial Distributions.-Y. Kharin Robust Forecasting of Parametric Trend of Time Series under "Outliers".-H. Kiers, W. Krzanowski Projections Distinguishing Isolated Groups in Multivariate Data Spaces.-C. Lauro, V. Esposito Non-Symmetrical Data Analysis Approaches Recent Developments and Perspectives.-L. Lebart Contiguity Analysis and Classification.-I. Lerman, V. Rouat New Results in Cutting Seriation for Approximate # SAT.-R. Meyer Applied Bayesan Data Analysis Using State-Space Models.-F. Murtagh, J.-L. Starck, N. McMillan, J. Campbell Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy.-S. Nishisato A Characterization of Ordinal Data.-W. Polasek, R. Lei Generalized Impulse Response Functions for VAR-GARCH-M Models.-J.-P. Rasson, D. Jacquemin, V. Bertholet A New Geometrical Hypothesis for Partitioning and Discriminant Analysis.-A. Rizzi Ultrametrics and p-adic Numbers.-P.J. Rousseeuw, K. Van Driessen An Algorithm for Positive-Breakdown Regression Based on Concentration Steps.-T. Saito Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix.-Y. Schektman, R. Abdesselam A Geometrical Relational Model for Data Analysis.-H. Strasser Towards a Statistical Theory of Optimal Quantization.-M. Windham Robust Clustering.- Applications: U. Becker, L. Fahrmeir Bump Hunting for Risk: A New Data Mining Tool.-L. Bryant, P. Bryant Clusters of Bibliographic References A Brief Case Study.-U. Gather, R. Fried, M. Imhoff Online Classification of States in Intensive Care.-W. Gaul, L. Schmidt-Thieme Frequent Generalized Subsequences - A Problem From Web Mining.-A. Geyer-Schulz, M. Hahsler, M. Jahn: myVU A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms.-P. Groenen, R. Mathar, J. Trejos Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communication.-D. Hand Synergy in Drug Combinations.-H. Hruschka, M. Probst, W. Fettes Maximum Likelihood Clustering for Elasticity-Based Market Segmentation.-K. Jajuga Statistics and Data Analysis in Market Risk Measurement.- A. Okada An Asymmetric Cluster Analysis Study of Car Switching Data.-O. Opitz, A. Hilbert Visualization of Multivariate Data by Scaling and Property Fitting.-K. Yajima Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data.
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Data Analysis : scientific modeling and practical application [texte imprime] / Wolfgang Gaul ; M Schader Otto Opitz . - Berlin : Springer, 2000. . - 527p. : ill. ; 24 cm. - (Studies in classification, data analysis, and knowledge organization) .
ISBN : 978-3-540-67731-4
Includes bibliographical references and index
voir une version plus récente dans URL associée
Langues : Anglais

Mots-clés :	Bock, Hans Hermann  Statistics  Classification  Information storage and retrieval systems
Résumé :	"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.
Note de contenu :	Machine derived contents note Classification: V. Batagelj, A. Ferligoj Clustering Relational Data.-A. Gordon An Iterative Relocation Algorithm for Classifiying Symbolic Data.-R. Kiel, M. Schader Automatic Classification with Classifying Automata.-G. Ritter Classification and Clustering of Objects with Variants.-D. Vicari, M. Vichi Non-Hierarchical Classification Structures.-M. Yacoub, D. Frayssinet, F. Badran, S. Thiria Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map.-Data Analysis: G. Arminger, J. Wittenberg Unobserved Heterogeneity in Mean- and Covariance Structure Models.-J.-P. Barthl?emy, F. Brucker Average Consensus in Numerical Taxonomy and some Generalizations.- H. Bozdogan Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria.-F. Critchley On an Framework for Dissimilarity Analysis.-G. De Soete, J. Daws: Least-Squares Ultrametric Tree Representations of Three-Way One-Mode Proximity Data.- E.Diday, Y. Lechevallier From Data Mining to Knowledge Mining An Introduction to Symbolic Data Analysis.-O. Gascuel Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees.-J.A. Hartigan Testing for Antimodes.-P. Ihm: A classification of Bivariate Negative Binomial Distributions.-Y. Kharin Robust Forecasting of Parametric Trend of Time Series under "Outliers".-H. Kiers, W. Krzanowski Projections Distinguishing Isolated Groups in Multivariate Data Spaces.-C. Lauro, V. Esposito Non-Symmetrical Data Analysis Approaches Recent Developments and Perspectives.-L. Lebart Contiguity Analysis and Classification.-I. Lerman, V. Rouat New Results in Cutting Seriation for Approximate # SAT.-R. Meyer Applied Bayesan Data Analysis Using State-Space Models.-F. Murtagh, J.-L. Starck, N. McMillan, J. Campbell Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy.-S. Nishisato A Characterization of Ordinal Data.-W. Polasek, R. Lei Generalized Impulse Response Functions for VAR-GARCH-M Models.-J.-P. Rasson, D. Jacquemin, V. Bertholet A New Geometrical Hypothesis for Partitioning and Discriminant Analysis.-A. Rizzi Ultrametrics and p-adic Numbers.-P.J. Rousseeuw, K. Van Driessen An Algorithm for Positive-Breakdown Regression Based on Concentration Steps.-T. Saito Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix.-Y. Schektman, R. Abdesselam A Geometrical Relational Model for Data Analysis.-H. Strasser Towards a Statistical Theory of Optimal Quantization.-M. Windham Robust Clustering.- Applications: U. Becker, L. Fahrmeir Bump Hunting for Risk: A New Data Mining Tool.-L. Bryant, P. Bryant Clusters of Bibliographic References A Brief Case Study.-U. Gather, R. Fried, M. Imhoff Online Classification of States in Intensive Care.-W. Gaul, L. Schmidt-Thieme Frequent Generalized Subsequences - A Problem From Web Mining.-A. Geyer-Schulz, M. Hahsler, M. Jahn: myVU A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms.-P. Groenen, R. Mathar, J. Trejos Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communication.-D. Hand Synergy in Drug Combinations.-H. Hruschka, M. Probst, W. Fettes Maximum Likelihood Clustering for Elasticity-Based Market Segmentation.-K. Jajuga Statistics and Data Analysis in Market Risk Measurement.- A. Okada An Asymmetric Cluster Analysis Study of Car Switching Data.-O. Opitz, A. Hilbert Visualization of Multivariate Data by Scaling and Property Fitting.-K. Yajima Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data.
En ligne :	https://www.amazon.fr/Data-Analysis-Scientific-Practical-Application/dp/35406773 [...]
Permalink :	./index.php?lvl=notice_display&id=9421