A Theory of Shape Identification
Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have ...
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An R and S-Plus® Companion to Multivariate Analysis
Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined ...
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Applied Multivariate Statistical Analysis
This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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Big Data: Conceptual Analysis and Applications
The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making ...
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data ...
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Branch-and-Bound Applications in Combinatorial Data Analysis
There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
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COMPSTAT 2006 - Proceedings in Computational Statistics
International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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COMPSTAT 2006 - Proceedings in Computational Statistics
International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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Cluster Analysis for Data Mining and System Identification
This book presents new approaches to data mining and system identification, and new techniques and tools are presented for ...
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Computational Intelligence Paradigms : Innovative Applications
The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The ...
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Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
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Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
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Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets / Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...
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Fuzzy Modeling with Spatial Information for Geographic Problems
This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy ...
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Handbook of Data Visualization
This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization ...
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Interactive and Dynamic Graphics for Data Analysis : With R and Ggobi
This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. ...
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Knowledge Discovery in Databases: PKDD 2006
The two premier annual European conferences in the areas of machine learning anddatamining havebeencollocatedeversincethejointconferenceinFreiburg, ...
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Market Segmentation Analysis
This open access book offers something for everyone working with market segmentation: practical guidance for users of market ...
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Mathematics of Uncertainty
Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
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Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
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