Advances in Data Mining (vol. # 4065)
The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. ...
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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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Data Analysis and Decision Support
Presents advances in data analysis and decision support and gives an actual overview on the interface between mathematics, ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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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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Fundamentals of Pattern Recognition and Machine Learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
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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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Modern Multidimensional Scaling
The book provides a comprehensive treatment of multidimensional scaling (MDS), a family of statistical techniques for analyzing ...
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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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Multivariate Statistics: Exercises and Solutions
The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
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New Developments in Classification and Data Analysis
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
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Nonlinear Dimensionality Reduction
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the ...
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Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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