One of the popular reason for using Microsoft SSAS is because of its standard support of data mining features. Something that would cost a fortune with other softwares. Of course, I am not saying that MS SSAS is going to be as good as those softwares, but it definitely is suffice to do some basic straightforward data mining in most cases. Along with DMX (Data mining expressions) and tightly integrated CRM and Sharepoint, this whole architecture is definitely something most SMB wishes for in creating a "budget" solution.
Throughout the summer I will go through the following data mining algorithms that are supported by MS SSAS.
- Association
- Clustering
- Decision Trees
- Linear Regression
- Logistic Regression
- Naive Bayes
- Neural Network
- Sequence Clustering
- Time Series
For each data mining algorithms I will give an introduction and follow up by some case scenarios where it will be useful.
Stay tuned.
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