Data Mining with Microsoft SQL Server(TM) 2000 Technical Reference (IT Professional),Used

Data Mining with Microsoft SQL Server(TM) 2000 Technical Reference (IT Professional),Used

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The amount of information stored in corporate databases is exploding exponentially. Data miningfinding meaningful patterns in all that datacan give any organization a competitive advantage. This book is the indepth reference from Microsoft for anyone who wants to take full advantage of the powerful datamining 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 informationextraction 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 datamining model using data downloaded from a database. Coverage includes:INTRODUCTION TO DATA MINING: What data mining is and isnt, plus important principles and definitions behind datamining methodologies, including the role of datamining models, statistics, and algorithms 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 DATAMINING METHODS: How to choose the best datamining method for the jobdecision trees or clustering 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 PROGRAMMING THE DATAMINING SERVICES: How to use datamining models and Data Transformation Services, PivotTable Services, decisionsupport objects (DSO), PERL, Visual Basic, Scripting Edition, XML, and other tools and languages to work with the datamining engine

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