New Developments in Classification and Data Analysis
Springer Berlin (Verlag)
978-3-540-23809-6 (ISBN)
Classification and Clustering.- Multi-Class Budget Exploratory Trees.- Methods to Compare Nonparametric Classifiers and to Select the Predictors.- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis.- Simplifying Classification Trees Through Consensus Methods.- Selecting the Training Set in Classification Problems with Rare Events.- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey.- A Collinearity Based Hierarchical Method to Identify Clusters of Variables.- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves.- Metrics in Symbolic Data Analysis.- Constrained Clusterwise Linear Regression.- Crossed Clustering Method on Symbolic Data Tables.- Multivariate Statistics and Data Analysis.- Some Statistical Applications of Centrosymmetric Matrices.- Selection of Structural Equation Models with the PLS-VB Programme.- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection.- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model.- PLS Typological Regression: Algorithmic, Classification and Validation Issues.- Weighted Metric Multidimensional Scaling.- An Improved Majorization Algorithm for Robust Procrustes Analysis.- Generalized Bi-Additive Modelling for Categorical Data.- Model Selection Procedures in Three-Mode Component Models.- Principal Component Analysis for Non-Precise Data.- A New Version of the Structural Dynamic Model with Unique Latent Scores.- Some Issues About the Use of Experts.- Nonparametric Methods in Survey Sampling.- A Different Approach for the Analysis of Web Access Logs.- Blending Statistics and Graphics in Visual Data Mining.- Confidence Regions in Multivariate Calibration: A Proposal.- Applied Multivariate Statistics.- Nonparametric Analysis of Air Pollution Indices Compositions.- VAR Models for Spatio-temporal Structures: An Application to Environmental Data.- Analysis of Spatial Covariance Structure for Environmental Data.- Bayesian Clustering of Gene Expression Dynamics: An Application.- A Hierarchical Mixture Model for Gene Expression Data.- Sequence Analysis of BHPS Life Course Data.- Robust Multivariate Methods for the Analysis of the University Performance.- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization.- Evaluating Undergraduate Education Through Multiple Choice Tests.- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design.- Value-Orientations and Partnership.- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results.- Functional Cluster Analysis of Financial Time Series.- The Role of the Normal Distribution in Financial Markets.- Functional Principal Component Analysis of Financial Time Series.- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues.
| Erscheint lt. Verlag | 22.2.2005 |
|---|---|
| Reihe/Serie | Studies in Classification, Data Analysis, and Knowledge Organization |
| Zusatzinfo | X, 370 p. 92 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1200 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Wirtschaft ► Allgemeines / Lexika | |
| Schlagworte | ACCESS • Calculus • classification • cluster analysis • Clustering • Data Analysis • Data Mining • Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika • HC/Informatik, EDV/Informatik • HC/Wirtschaft/Allgemeines, Lexika • linear regression • Modeling • Multidimensional Scaling • Multivariate Statistics • Non-parametric Classification • Performance • Principal Component Analysis • Statistics • Time Series |
| ISBN-10 | 3-540-23809-3 / 3540238093 |
| ISBN-13 | 978-3-540-23809-6 / 9783540238096 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich