Learn IT - Books tags mining

Bioinformatics: Managing Scientific Data (Multimedia Information and Systems)

Morgan Kaufmann, 2003

Bioinformatics can refer to almost any collaborative effort between biologists or geneticists and computer scientists and thus covers a wide variety of traditional computer science domains, including data modeling, data retrieval, data mining, data integration, data managing, data warehousing, data cleaning, ontologies, simulation, parallel...

Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)

Springer, 2007

Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions. These techniques are applied in fields such as economics, biology and...

Semantic Web Services: Concepts, Technologies, and Applications

Springer, 2007

In just a few years, service-oriented architectures (SOA) and Web services not only gained considerable interest in computer science research, they were also taken up with unanimity by all major international players in the IT industry. However, and in spite of all existing standards, in most SOA applications much human intervention is still...

Metaheuristics: Progress in Complex Systems Optimization (Operations Research/Computer Science Interfaces Series)

Springer, 2007

Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these optimization tools have established their value in a remarkable story of success. Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within...

Spatial Database Systems: Design, Implementation and Project Management (GeoJournal Library)

Springer, 2007

This first of a kind book places spatial data within the broader domain of information technology (IT) while providing a comprehensive and coherent explanation of the guiding principles, methods, implementation and operational management of spatial databases within the workplace. The text explains the key concepts, issues and processes of spatial...

Social Networks and the Semantic Web (Semantic Web and Beyond)

Springer, 2007

Whether we changed the Web or the Web has changed us is difficult to discern, even with the wisdom of hindsight. Social Networks and the Semantic Web provides two major case studies.

The first case study shows the possibilities of tracking a research community over the Web, combining the information obtained from the Web with...

An Introduction to Knowledge Engineering

Springer, 2006

An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such technologies as expert systems, neural...

Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)

Springer, 2006

Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data,...

Parallel I/O for Cluster Computing (Innovative Technology Series)

ISTE Publishing Company, 2003

Data sets in large applications such as databases and data-mining applications are often too large to fit into a computer’s internal memory. The resulting I/O (input/output) communications between internal memory and the slower external medium (such as disks) can present a major performance bottleneck.

Among the possible computer...

Sas R 9.1.3 Etl Studio: User's Guide

SAS Institute, 2004

This manual explains how to use SAS ETL Studio to specify metadata for sources, specify metadata for targets, and create jobs that specify how data is extracted, transformed, and loaded from sources to targets.

Features that are new in SAS ETL Studio 9.1.3 include the following:

...

Sas R 9.1.3 Language Reference: Concepts

SAS Institute, 2004

This title comprehensively documents essential concepts for SAS features, the DATA step, and SAS files so you can effectively manage your data.

SAS is a set of solutions for enterprise-wide business users as well as a powerful fourth-generation programming language for performing tasks such as these:

...

MDX Solutions: With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase

John Wiley & Sons, 2006

An updated version of the leading tutorial and reference on the MDX query language

Now in its second edition, this invaluable reference explains why MDX (MulitDimensional eXpressions) is the most widely accepted software used for dimensional application. You'll learn how to build effective multidimensional data...

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