Data Mining with Microsoft SQL Server 2008 by Jamie MacLennan

By Jamie MacLennan

Know how to take advantage of the hot positive factors of Microsoft SQL Server 2008 for information mining through the use of the instruments in information Mining with Microsoft SQL Server 2008 , with a view to allow you to use the SQL Server facts Mining Toolset with workplace 2007 to mine and study info. discover all the significant info mining algorithms, together with naive bayes, choice timber, time sequence, clustering, organization principles, and neural networks. examine extra approximately issues like mining OLAP databases, facts mining with SQL Server Integration prone 2008, and utilizing Microsoft information mining to unravel company research difficulties.

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As described in this chapter, these tools provide more functionality than BI Dev Studio and SQL Server Management Studio alone, but they also have limitations that prevent them from exposing the full functionality of SQL Server Data Mining. In any case, this chapter will allow you to best take advantage of the Microsoft Office tools for data mining. tex V2 - 10/04/2008 3:34am Introduction xxxiii Chapters 6-12: the algorithm chapters — Each of these chapters is devoted to one or more of the algorithms included with SQL Server Data Mining.

Classification is the act of assigning a category to each case. Each case contains a set of attributes, one of which is the class attribute. The task requires finding a model that describes the class attribute as a function of input attributes. In the College Plans data set shown in Figure 1-1, the class is the CollegePlans attribute with two states: Yes and No. A classification model will use the other attributes of a case (the input attributes) to determine patterns about the class (the output attribute).

The next section of the report explains the influencers for the Clerical value of the Occupation column, and should be interpreted similarly. tex V2 - 10/04/2008 2:00am The Analyze Key Influencers Tool When interpreting the report, keep in mind that, although the bar lengths may suggest otherwise, you should not assume that an Income of 39000 71062 influences a Skilled Manual occupation exactly as much as an income of <39050 influences a Clerical occupation. The lengths of the bars are meaningful only within the report subsection that deals with a single target column value.

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