Data Analysis
Scientific Modeling and Practical Application. Forew. by Robert R. Sokal
(Sprache: Englisch)
"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...
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Produktinformationen zu „Data Analysis “
"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.
Klappentext zu „Data Analysis “
"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.
Inhaltsverzeichnis zu „Data Analysis “
- 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. Barthélemy, 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
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Characterization of Ordinal Data
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Bibliographische Angaben
- Autor: R. R. Sokal
- 2000, XII, 528 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Wolfgang A. Gaul, Martin Schader, Otto Opitz
- Verlag: Springer, Berlin
- ISBN-10: 3540677313
- ISBN-13: 9783540677314
- Erscheinungsdatum: 09.08.2000
Sprache:
Englisch
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