Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need...

In this textbook, I take an unconventional approach to data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are...

** Black & White edition ** VMware vSphere 5 Clustering Technical Deepdive zooms in on three key components of every VMware based infrastructure and is by no means a "how to" guide. It covers the basic steps needed to create a vSphere HA and vSphere DRS cluster and to implement vSphere Storage DRS. Even more important, it...

You are a father or mother, a son or daughter, husband or wife, a significant other, a rock climber, a kite-flyer, a bicycle enthusiast, a marathon runner, a collector of old movies, a secret novelist, a boxing fan. You are the center of your universe. On the picture collage from the...

This volume contains revised versions of selected papers presented at the biennial meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, which was held in Macerata, September 12–14, 2007. Carlo Lauro chaired the Scientific Programme Committee and Francesco Palumbo chaired the Local...

Be careful what you ask for. It’s been a struggle, but at last I’ve got it out of my system, and...

This book examines new algorithms and tools, technology platforms and reconfigurable...

Ordered sets are ubiquitous in mathematics and have significant applications in computer science, statistics, biology and the social sciences. As the first book to deal exclusively with finite ordered sets, this book will be welcomed by graduate students and researchers in all of these areas. Beginning with definitions of key concepts and...

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing...