By Jamie MacLennan
Know how to exploit the hot beneficial properties of Microsoft SQL Server 2008 for facts mining through the use of the instruments in info Mining with Microsoft SQL Server 2008 , on the way to enable you use the SQL Server information Mining Toolset with workplace 2007 to mine and examine info. discover all the significant info mining algorithms, together with naive bayes, determination timber, time sequence, clustering, organization ideas, and neural networks. research extra approximately subject matters like mining OLAP databases, info mining with SQL Server Integration prone 2008, and utilizing Microsoft info mining to resolve company research difficulties.
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Additional resources for Data Mining with Microsoft SQL Server 2008
You will have a chance to review and modify the message before it is sent. After the message is sent, you should follow up with your IT department to get the name of the server and database where you have access. When you get this information, you can start using the add-ins. If you cannot get access to an Analysis Services instance, you can still download an evaluation copy of SQL Server 2008 and set it up on your machine. If you choose to do so, review the previous ‘‘Configuring Analysis Services with Administrative Privileges’’ section, because you will likely have administrative privileges on your private installation.
Therefore, an Income in the range of 39000 - 71062 is the strongest influencer for the Skilled Manual occupation. Then (moving to the next report row for the same Skilled Manual value), the next influencer is the North America region, a slightly less important influencer than the income. ) Another influencer (relatively about half as important as Region) is a commute distance of 5 - 10 Miles. The number of Cars, the Age, and the number of Children are also influencers, but to a lesser degree. The next section of the report explains the influencers for the Clerical value of the Occupation column, and should be interpreted similarly.
Chapter 19: Conclusion and Additional Resources — In addition to wrapping up the book, this chapter provides a list of valuable links where you can find additional information and help with your data mining projects. It also includes references to some other reading materials that you can refer to if you want to learn more about data mining. This book also includes two helpful appendixes: Appendix A: Data Sets — This appendix contains a brief description of the various data sets used in this book.
Data Mining with Microsoft SQL Server 2008 by Jamie MacLennan