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 Fundamentals of Predictive Text Mining (Texts in Computer Science)
Five years ago, we authored “Text Mining: Predictive Methods for Analyzing Unstructured Information.” That book was geared mostly to professional practitioners, but was adaptable to course work with some effort by the instructor. Many topics were evolving, and this was one of the earliest efforts to collect material for predictive... |  |  Microsoft SQL Server 2008 Management and Administration
SQL Server 2008 is Microsoft’s latest data platform providing data management and analytical solutions for the enterprise. The platform is trusted, ensures business continuity, and is more predictable and more scalable than ever before. Although similar to SQL Server 2005, SQL Server 2008 offers a tremendous number of new features and... |  |  OpenAM
OpenAM is an open source continuation of the OpenSSO project that was taken over, and later scrapped, by Oracle. OpenAM is the only commercial-grade, feature-rich web application that provides SSO solutions. It has a variety of features and a powerful Single Sign-On (SSO) capability, but the implementation can be tricky, and the unorganized... |
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 Professional WordPress Plugin Development
DEAR READER, thank you for picking up this book! You have probably heard about WordPress
already, the most popular self - hosted content management system (CMS) and blogging software in
use today. WordPress powers literally millions of Web sites on the Internet, including high profi le
sites such as TechCrunch and CNN ’ s blog.... |  |  Enhancing Architectural Drawings and Models with Photoshop
The first two chapters of this book are related and should be read in sequence. Chapter 1 is about preparing computer-aided design (CAD) and/or building information models (BIM) for enhancement, and Chapter 2 teaches you how to add the enhancements (such as color, pattern, shadow, and lineweight) in Photoshop.
All of the other 10... |  |  Core Concepts in Data Analysis: Summarization, Correlation and Visualization
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... |
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