CIS111-6 Intelligent Systems And Data Mining

Students will develop one or more Advanced Data Mining (ADM) techniques for saving the cost of a direct marketing campaign by reducing false positive (wasted call) and false negative (missed customer) predictions. Students could consider the scenario of the Assignment 1 to optimise a given marketing campaign with ADM techniques. Examples of ADM techniques such as Artificial Neural Networks and Gradient Boosting Machines will be given in related tutorials.

Method and Technology
To design a solution, students will apply ADM techniques discussed in lectures and will use related packages available on the R repository.

Using the ADM techniques, students will run individual experiments to find a solution providing the best accuracy of predicting client profiles on the bank marketing used for designing a solution to the Assignment 1.

The use of this data allows students to compare different DM techniques in terms of prediction accuracy.

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