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Claude
Seidman
ISBN: 0-7356-1271-4
Pages: 384
Disk:
Suggested Retail Price: $49.99 US
Stolin-Softwares Price: $39.99
Your Savings is: $10.00
Release: 5/9/2001
Level: Int/Adv |
The amount of information stored in corporate
databases is exploding exponentially. Data mining-finding meaningful patterns
in all that data-can give any organization a competitive advantage. This
book is the in-depth reference from Microsoft® for anyone who wants
to take full advantage of the powerful data-mining features in SQL Server™
2000. It examines the SQL Server 2000 Analysis Services architecture and
shows how data mining fits into its complete suite of information-extraction
technologies. Then it demonstrates how to structure and mine large databases
with the algorithms included with SQL Server 2000 to find nuggets of useful
information. It even shows how to create a practice data-mining model using
data downloaded from a database. Coverage includes:
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INTRODUCTION TO DATA MINING: What data mining
is and isn't, plus important principles and definitions behind data-mining
methodologies, including the role of data-mining models, statistics, and
algorithms
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SQL SERVER 2000 ARCHITECTURE: How data mining
fits into the SQL Server 2000 Analysis Services architecture and how it
builds on the SQL Server 2000 relational database and its embedded online
analytical processing (OLAP) engine
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DATA-MINING METHODS: How to choose the best
data-mining method for the job-decision trees or clustering
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EASE OF USE FEATURES: How to use the Mining
Model Wizard and the OLAP Mining Model Editor to simplify creating, training,
and processing a model
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PROGRAMMING THE DATA-MINING SERVICES: How
to use data-mining models and Data Transformation Services, PivotTable®
Services, decision-support objects (DSO), PERL, Visual Basic®, Scripting
Edition, XML, and other tools and languages to work with the data-mining
engine
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