Data Mining with Microsoft® SQL Server™ 2000 Technical Reference
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Book Data Mining With Microsoft Sql Server 2000 Technical Reference
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The book cannot be previewed or downloaded in order to preserve the copyright of the author and publishing house
Not available digitally or on paper through the Noor Library, it is for rating and review
Data Mining With Microsoft® SQL Server™ 2000 Technical Reference
| Author: | Claude Seidman |
| Category: | Data Mining [Edit] |
| Language: | English |
| Publisher: | Microsoft Press |
| ISBN: | 735612714 |
| Pages: | 384 |
| Rank: | 441,196 No 1 most popular |
| Short link: | Copy |
| More books like this book | |
Book Description
Learn how to turn mountains of raw data into useful information with this guide. 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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Not available digitally or on paper through the Noor Library, it is for rating and review
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