Modeling and prediction of laser generation in UV copper bromide laser via MARS
NANOTECHNOLOGY'10 Proceedings of the 2nd WSEAS international conference on Nanotechnology
Proceedings of the 1st ACM International Health Informatics Symposium
Relation between stay-time and purchase probability based on RFID data in a Japanese supermarket
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Variable selection in logistic regression: the British English dative alternation
ESSLLI'08/09 Proceedings of the 2008 international conference on Interfaces: explorations in logic, language and computation
A data mining framework for detecting subscription fraud in telecommunication
Engineering Applications of Artificial Intelligence
Vulnerability analysis of high dimensional complex systems
SSS'10 Proceedings of the 12th international conference on Stabilization, safety, and security of distributed systems
Nonparametric estimation of the anisotropic probability density of mixed variables
Journal of Multivariate Analysis
A study of hierarchical correlation clustering for scientific volume data
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Nonparametric time series forecasting with dynamic updating
Mathematics and Computers in Simulation
Data analysis pipeline from laboratory to MP models
Natural Computing: an international journal
Does segmentation always improve model performance in credit scoring?
Expert Systems with Applications: An International Journal
Surrogate modeling in the evolutionary optimization of catalytic materials
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Generalized canonical correlation analysis for disparate data fusion
Pattern Recognition Letters
Language Resources and Evaluation
Journal of Biomedical Informatics
Journal of Multivariate Analysis
Finite mixtures of unimodal beta and gamma densities and the $$k$$-bumps algorithm
Computational Statistics
Theoretical aspects of mapping to multidimensional optimal regions as a multi-classifier
Intelligent Data Analysis
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Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.