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Pro Spatial with SQL Server 2012
Pro Spatial with SQL Server 2012

Microsoft SQL Server implements extensive support for location-based data. Pro Spatial with SQL Server 2012 introduces SQL Server’s spatial feature set, and covers everything you'll need to know to store, manipulate, and analyze information about the physical location of objects in space. You’ll learn about the...

Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)
Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

A multi-discipline, hands-on guide to microarray analysis of biological processes

Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis...

R for Business Analytics
R for Business Analytics

R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.  With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of...

Pattern Recognition and Classification: An Introduction
Pattern Recognition and Classification: An Introduction

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner.

Pattern Recognition and Classification presents a comprehensive
...

Text Mining with MATLAB®
Text Mining with MATLAB®

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.

The first part provides an introduction...

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science)

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each...

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation.

...

Pro SharePoint Disaster Recovery and High Availability
Pro SharePoint Disaster Recovery and High Availability

Few IT professionals take the time to learn what needs to be known to do disaster recovery well. Most labor under the pretense that good administration equals close to five-nines uptime. Most technical people do not see the value of planning for disasters until the unexpected has already happened, and the effects of a disaster involving a...

Machine Learning with R
Machine Learning with R

Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Overview

  • Harness the power of R for statistical computing and data science
  • Use R to apply common machine learning algorithms with real-world applications
  • Prepare,...
Getting Started with Hazelcast
Getting Started with Hazelcast

An easy-to-follow and hands-on introduction to the highly scalable data distribution system, Hazelcast, and its advanced features.

Overview

  • Understand how to revolutionize the way you share data across your application
  • A one-stop guide to this bleeding edge technology
  • Store...
Microsoft Hyper-V Cluster Design
Microsoft Hyper-V Cluster Design

The world of virtualization continues to expand, and the reach of Microsoft's  Hyper-V hypervisor continues to expand with it. This book seeks to reach beyond  simple, single-host hypervisor deployment, and provide guidance on clustering hosts  together for redundancy, performance, and more thorough utilization of...

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