By Jamie MacLennan
Know the way to exploit the recent good points of Microsoft SQL Server 2008 for facts mining by utilizing the instruments in info Mining with Microsoft SQL Server 2008 , in an effort to aid you use the SQL Server info Mining Toolset with place of work 2007 to mine and study information. discover all the significant facts mining algorithms, together with naive bayes, determination bushes, time sequence, clustering, organization principles, and neural networks. research extra approximately themes like mining OLAP databases, information mining with SQL Server Integration providers 2008, and utilizing Microsoft facts mining to unravel company research difficulties.
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Additional info for Data Mining with Microsoft SQL Server 2008
The common usage of association is to identify common sets of items and rules for the purpose of cross-selling, as shown in Figure 1-4. Milk Cake Beer Cheese Wine Donut Coke Pepsi Beef Juice Figure 1-4 Product association In terms of association, each piece of information is considered an item. The association task has two goals: to find those items that appear together frequently, and from that, to determine rules about the associations. tex V2 - 10/04/2008 Introduction to Data Mining in SQL Server 2008 Regression The regression task is similar to classification, except that instead of looking for patterns that describe a class, the goal is to find patterns to determine a numerical value.
This chapter presents a set of SQL Server Data Mining tools that are intended to bring the power of predictive analytics to the fingertips of Excel users. The tools are provided as a freely downloadable add-in for Microsoft Excel 2007. At least the Professional edition of Microsoft Excel is required. If you do not have Microsoft Excel 2007, a free evaluation version is available. com and select the Office Professional 2007 version. The tools presented in this chapter were designed with the idea of empowering information workers (people who work with computer data and not necessarily IT specialists) with predictive analytics and do not require a background in data mining or statistics.
If you have access to multiple server catalogs, using this option may result in confusion. Figure 2-3 Creating a new connection to Analysis Services By default, the Use Windows Authentication button in the Connect to Analysis Services dialog box is selected as the option for passing credentials (as shown previously in Figure 2-3). That is because Analysis Services supports only Windows-authenticated clients. However, as you may already know if you have used Analysis Services in the past, Analysis Services provides an option of connecting over HTTP.