Data mining and Warehousing

This book additionally contains acceptable actual to accomplish up an avant-garde advance on abstracts mining and warehousing. Each and every affiliate has exercise. Model catechism cardboard is additionally given. We achieve that, this book is the alone book, which deals both abstracts mining techniques and abstracts warehousing concepts ill-fitted for the avant-garde time.
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Data Analysis Using SQL and Excel

Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what you can expect the results to look like. Throughout the book, critical features of Excel are highlighted, interesting uses of Excel graphics are explained, and dataflows and graphical representations of data processing are used to illustrate how SQL works.
Data Analysis Using SQL and Excel shares hints, warnings, and technical asides about Excel, SQL, and data analysis/mining. The book also discusses:
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Handbook of Data Visualization

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice.
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Applied Data Mining: Statistical Methods for Business and Industry

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, economics, marketing and finance.
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Microsoft SQL Server 2008 Step by Step

You ll begin by learning to install and configure SQL Server 2008, design a model database, and work with tables and indexes. Next, you ll learn techniques to manipulate, maintain, and retrieve data. Finally, you ll learn more-advanced techniques, such as using views, functions, and triggers.
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SQL Server 2008 Reporting Services

Create and deliver data-rich reports across the enterprise using this complete server-based reporting solution. Written by a member of the original Reporting Services development team, Microsoft SQL Server 2008 Reporting Services covers the entire report-building and distribution process, including data extraction, integration with desktop and Web applications, and end-user access. The book explains how to maximize all of the powerful features, including the new Tablix data format, as well as enhanced performance, scalability, and visualization capabilities.
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Administering SQL Server 7

Microsoft SQL Server own the lion’s share of the market for Windows NT relational databases. Now SQL Version 7 is on the way–and this authoritative guide will be on hand to solve problems and provide a complete migration path from 6.5 to 7 for database administrators and application developers. Written by authors who have designed and implemented some of the largest SQL DBMS systems in the U.S., it’s the complete guide to the upgrade that offers a new level of support for large databases and enterprise-level applications.
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Microsoft SQL Server 2005 Analysis Services

Microsoft SQL Server Analysis Services provides fast access to data by means of multidimensional data structures and the multidimensional query language MDX. Analysis Services provides the capability to design, create, and manage multidimensional cubes based on data warehouse tables, and it serves as the foundation for the Microsoft Business Intelligence strategy.

Microsoft SQL Server 2005 Analysis Services gives the reader insight into the way Analysis Services functions. It not only explains ways to design and create multidimensional objects, databases, dimensions, and cubes, but also provides invaluable information about the reasons behind design decisions made by the development team.
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Data Mining in Grid Computing Environments

Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them.
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