



Cloud Computing and Virtualization
The purpose of this book is first to study cloud computing concepts, security concern in clouds and data centers, live migration and its importance for cloud computing, the role of firewalls in domains with particular focus on virtual machine (VM) migration and its security concerns. The book then tackles design, implementation of...   Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets
As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...   Multivariate Time Series Analysis: With R and Financial Applications
An accessible guide to the multivariate time series tools used in numerous realworld applications
Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a... 


Algorithm Design: Foundations, Analysis and Internet Examples
This book is designed to provide a comprehensive introduction to the design and
analysis of computer algorithms and data structures. In terms M the computer science
and computer engineering curricula, we have written this book to be primarily
focused on the JuniorSenior level Algorithms (CS7) course, which is taught as a...     

Algorithms for VLSI Design Automation
Modern microprocessors such as Intel's Pentium chip typically contain millions of transitors. Known generically as Very LargeScale Integrated (VLSI) systems, the chips have a scale and complexity that has necessitated the development of CAD tools to automate their design. This book focuses on the algorithms which are the building blocks of...   Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
This upperdivision text provides an...   


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