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Predictive Analysis and Forecasting Expand / Collapse
Posted Friday, February 7, 2014 12:00 AM


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Last Login: Friday, August 22, 2014 5:49 AM
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I am new to Data Mining. Please help me for my new assignment which i am going to start.

1) Can we do prediction without time series algorithm.

For example I am having University Past Data and I want to predict and forecast about below points.

a) Predict Analysis Marital Status wise whether student will join the course or Not?
b) Forecast whether student will pass or fail or drop the course by using his prev education data etc.

I am new to Data Mining. Can somebody help me how can i start?

Post #1539020
Posted Monday, February 17, 2014 6:57 AM

Mr or Mrs. 500

Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500Mr or Mrs. 500

Group: General Forum Members
Last Login: Thursday, July 24, 2014 1:50 PM
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have a look here for information related to association rules.
Post #1542094
Posted Tuesday, February 25, 2014 10:05 AM


Group: General Forum Members
Last Login: Monday, July 28, 2014 7:12 PM
Points: 2,148, Visits: 487
When new to a verticial industry, I like to go with the Naive Bayes algorithm to learn about the data. It is the least complex algorithm, but ALWAYS test with the other appropriate algorithms as well. Not all algorithms return the same results.

The tasks you have stated do not really intuitively sound appropriate for the Time Series algorithm but it is tough to answer the question without seeing the data model.

Decision Trees is a nice swiss army knife.
Association rules is good for "People that bought X also bought Y".
Clustering is commonly used for customer segmentation and classification but can be used in other ways too.
Sequence Clustering is common used to predict the next event in a sequence of events (i.e. web site clicks).

Hope it helps.
Post #1545043
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