Well, the good news is that you...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

This book was written for the entry- to intermediate-level SAS programmer who helps with the analysis and reporting of clinical trial data in the pharmaceutical industry. The industry may call this individual a “SAS programmer,” “clinical SAS programmer,” “statistical/stats programmer,”...

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of...

This book is intended to survey the most important computer algorithms in use today, and to teach fundamental techniques to the growing number of people in need of knowing them. It is intended for use as a textbook for a second course in computer science, after students have acquired basic programming skills and familiarity with computer...

This hands-on guide cuts short the preamble and gets straight to the point – actually creating graphs, instead of just theoretical learning. Each recipe is specifically tailored to fulfill your appetite for visually representing you data in the best way possible. This book is for readers already familiar with the basics of R who want to...

The practice of compiler construction changes continually, in part because the designs of processors and systems change. For example, when we began to write Engineering a Compiler (eac) in 1998, some of our colleagues questioned the wisdom of including a chapter on instruction scheduling because out-of-order execution threatened to make...

Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to take full advantage of Microsoft's collaborative business intelligence (BI) tools. A variety of powerful, flexible technologies are covered, including SQL...

Indeed, this volume...

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...

Calling all developers: Windows Phone 7 is starting to gain...

In 1872 F. Klein proposed his Erlangen Programme in...