CIS111-6 - Intelligent Systems and Data Mining - Engineering Assignment Help

Assignment Task

Unit learning outcomes

1. Analyse a Data Mining technique capable of supporting practitioners to make reliable decisions which require predictive modelling, for example, in a Business scenario

2. Demonstrate results of using an efficient technique which is capable of finding a solution to a given predictive problem represented by a data set

3. Evaluate the accuracy of the technique in terms of differences between the predicted values and the given data

Task

Students will develop a DM solution for saving the cost of a direct marketing campaign by reducing false positive (wasted call) and false negative (missed customer) decisions. Working on this assignment, students can consider the following scenario. A Bank has decided to save the cost of a direct marketing campaign based on phone calls offering a product to a client. A cost efficient solution is expected to support the campaign with predictions for a given client profile whether the client buys the product or not. Examples of cost-efficient DM solutions for direct marketing are provided on the UCI Machine Learning repository describing a Bank Marketing problem.

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