Ensemble classifiers (Random Forest, Bagging, Boosting, etc.) in SSAS
I am using SSAS (SQL Server 2008 R2) to develop a classification model for a data set where 80% of values are missing. Ensemble classifiers based on trees are supposedly the best solution (Random Forest for example).
Is there any nice way of adding an ensemble classifier into SSAS? For example an AdaBoost or any other Bagging or Boosting classifier?
I know SSAS provides plug-in functionality, but I have not come across anyone doing any ensemble solutions... Not to mention anything that you can just download and start using.
If not, is there any efficient method to connect various开发者_JAVA百科 classifiers in SSAS? I hope I am missing something obvious that is there.
I am not too familiar with the topic you are asking about, but technologically in SSAS you can register assemblies and use them in MDX. Therefore, it could be possible for you to code this in .NET and use the logic in SSAS. Please have a look at the following MSDN page for more information in case this sounds like something worth exploring.
http://technet.microsoft.com/en-us/library/ms175398.aspx
Additionally, have a look at the Data Mining SSAS provides out-of-the box as some classification objectives could be achievable by using the included algorithms:
http://technet.microsoft.com/en-us/library/ms175595.aspx
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