Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing...

Discussing the characteristics that distinguish embodied cognitive science from classical cognitive science, the book places a renewed emphasis on sensing and acting,...

Filters, especially analog filters, are employed in many different systems that electrical engineers embark upon to design. Even many signal processing systems that are apparently digital, often contain one or more analog continuous-time filters either internally or as interface with the real-time world, which is analog in nature. This book...

The book teaches how to write rich, interactive, and smart BlackBerry applications in Java. It expects the readers to know Java but not Java Mobile or the BlackBerry APIs. This book will cover UI programming, data storage, programming network, and Internet API apps. As we move on, you will learn more about the BlackBerry’s device...

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

This book is a complete...

Microsoft Excel 2011 for the Mac OS X is a powerful application, but many of its most impressive features can be difficult to find. Guy Hart-Davis' Learn Excel 2011 for Mac is a practical, hands-on approach to learning all of the details of Excel 2011 to get work done efficiently on Mac OS X. From using formulas and...

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian...

This book has provided me with the information to jump right into creating web applications with Visual Basic. It is an excellent training guide and at the same time, it provides real-world examples that can be reused in multiple projects and applications. (A developer's comment on the previous edition of Murach's ASP.NET, posted...

The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data...

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a...

Thirty years after RSA was first publicized, it remains an active research area. Although several good surveys exist, they are either slightly outdated or only focus on one type of attack. Offering an updated look at this field, Cryptanalysis of RSA and Its Variants presents the best known mathematical attacks on RSA and its...