Data warehouses have evolved to cope with the huge volumes of data flowing through the workplace by separating the data used for reporting and decision making from the operational systems. The purpose of the data warehouse is simply to store the raw data, and in combination with Microsoft SQL Server 2000 Analysis Services, this data can be...
Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionalizing tools for the visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book offers in-depth knowledge of medical imaging instrumentation and techniques as...
Here's an opportunity to learn all the key elements of the OBIEE 11g suite by doing tasks rather than just reading. Packed with practical recipes, it empowers you to create complex analytical reports with minimum effort.
Overview
Improve the productivity of business intelligence solution to satisfy...
In many decision support fields the data that is exploited tends to be more and more complex. To take this phenomenon into account, classical architectures of data warehouses or data mining algorithms must be completely re-evaluated.
Processing and Managing Complex Data for Decision Support provides readers with an overview of the emerging...
The term "multidimensional data" generally refers to data in which a given fact is quantified by a set of measures, obtained by applying one more or less complex aggregative function (from count or sum to average or percent, and so on) to raw data. Such measures are...
This volume contains revised versions of selected papers presented at the biennial
meeting of the Classification and Data Analysis Group (CLADAG) of the Italian
Statistical Society, which was held in Macerata, September 12–14, 2007. Carlo
Lauro chaired the Scientific Programme Committee and Francesco Palumbo chaired
the Local...
These proceedings contain the papers that were presented at the 5th International
Conference on Language and Automata Theory and Applications (LATA
2011), held in Tarragona, Spain, during May 26–31, 2011.
The scope of LATA is rather broad, including: algebraic language theory;
algorithms for semi-structured...
Since its definition a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to problems either in industry, government or science. From the initial definition and motivated by real applications, the problem of mining patterns not only addresses the finding of itemsets...
C++, although a marvelous language, isn't perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn't just tell you what's wrong with C++, but offers practical techniques and tools for writing code that's...
Just Enough Programming Logic and Design is a guide to developing
structured program logic for the beginning programmer. Th is book
contains only seven chapters and two appendices—just enough to
get the student comfortable with programming logic before tackling
the syntax of a programming language. Th is book is intended to...
Data warehousing and OLAP (online analytical processing) technologies have gained a widespread acceptance since the 90’s as a support for decision-making. A data warehouse is a collection of subject-oriented, integrated, consolidated, time-varying, and non-volatile data (Kimball, 1996; Inmon, 1996). It is manipulated through OLAP tools, which...
SAS defines data mining as the process of uncovering hidden patterns in large amounts of data. Many industries use data mining to address business problems and opportunities such as fraud detection, risk and affinity analyses, database marketing, householding, customer churn, bankruptcy prediction, and...
