We received a lot of excellent paper submissions which were peer-reviewed by an international...

This volume is the last of three volumes devoted to the work of one of the most prominent 20th century mathematicians. Throughout his mathematical work, A.N. Kolmogorov (1903-1987) showed great creativity and versatility and his wide-ranging studies in many different areas, led to the solution of conceptual and fundamental problems and the...

This book suits both graduate students and researchers with a focus on discovering knowledge from scientific data. The use of computational power for data analysis and knowledge discovery in scientific disciplines has found its roots with the revolution of high-performance computing systems. Computational science in physics,...

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

PAKDD has been recognized as a major international conference in the areas of data mining (DM) and knowledge discovery in databases (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas...

Programmers may spend a good part of their careers scripting code to conform to commercial statistics packages, visualization tools, and domain-specific third-party software. The same tasks can force end users to spend countless hours in copy-paste purgatory, each minor change necessitating another grueling round of formatting tabs and...

While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will...

Statistical learning — that is, learning from data — and, in particular, probabilistic model learning have become increasingly important in recent years. Advances in information technology have facilitated an explosion of available data. This explosion has been accompanied by theoretical advances, permitting new and...

A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and...

The purpose of this book is to provide up-to-date progress both in Multiple Criteria Programming (MCP) and Support Vector Machines (SVMs) that have become powerful tools in the field of data mining. Most of the content in this book are directly from the research and application activities that our research group has conducted over the...

Think of all the popular data visualization works out there—the ones that you always hear in lectures or read about in blogs, and the ones that popped into your head as you were reading this sentence. What do they all have in common? They all tell an interesting story. Maybe the story was to convince you of something. Maybe it was to...

Being an effective analyst or a well-informed consumer of analyses requires that you know how to properly define the problem, apply suitable statistical techniques, and clearly and honestly communicate the results. Being a well-informed consumer of analyses requires the same skills so that you can recognize them in action. Robert Carver's...