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Challenges in Computational Statistics and Data Mining (Studies in Computational Intelligence)
Challenges in Computational Statistics and Data Mining (Studies in Computational Intelligence)

This volume contains nineteen research papers belonging to the

areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The

...

Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating...

Digraphs: Theory, Algorithms and Applications (Springer Monographs in Mathematics)
Digraphs: Theory, Algorithms and Applications (Springer Monographs in Mathematics)

Substantially revised, reorganised and updated, the second edition now comprises eighteen chapters, carefully arranged in a straightforward and logical manner, with many new results and open problems.

As well as covering the theoretical aspects of the subject, with detailed proofs of many important results, the authors present...

Bioinformatics: Databases and Systems
Bioinformatics: Databases and Systems

Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses on the issues of system building and data curation that dominate the day-to-day concerns of bioinformatics practitioners. Included are chapters by many of today's leading bioinformatics...

Data Mining in Agriculture (Springer Optimization and Its Applications)
Data Mining in Agriculture (Springer Optimization and Its Applications)

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...

Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications
Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology, Automation, Telecommunications and Networking. The book includes selected papers from the conference proceedings of the International Conference on Industrial...

A Modern Approach to Regression with R (Springer Texts in Statistics)
A Modern Approach to Regression with R (Springer Texts in Statistics)

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We...

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by...

Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)
Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)

This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and...

Data Mining Using Grammar Based Genetic Programming and Applications
Data Mining Using Grammar Based Genetic Programming and Applications

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...

Encyclopaedia of Mathematics: Coproduct ― Hausdorff ― Young Inequalities
Encyclopaedia of Mathematics: Coproduct ― Hausdorff ― Young Inequalities
Coproduct - Hausdorff- Young Inequalities An updated and annotated translation of the Soviet 'Mathematical Encyclopaedia...
Geometric Algorithms and Combinatorial Optimization (Algorithms and Combinatorics 2)
Geometric Algorithms and Combinatorial Optimization (Algorithms and Combinatorics 2)

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and - in particular - combinatorial optimization. It offers a unifying approach based on two fundamental geometric algorithms: - the ellipsoid method for finding a point in a convex set and - the basis reduction...

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