Advanced data mining techniques for direct marketing

Assignment Help Other Subject

Reference no: EM133067903 , Length: word count:2500

CIS111-6 Intelligent Systems and Data Mining - University of Bedfordshire

Assignment Task: Advanced Data Mining Techniques for Direct Marketing Campaigns

Task

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.

Project Data
Download the Bank marketing data (.csv) required for individual experiments.

Individual Report
Each solution will be evaluated in terms of the prediction accuracy determining the efficiency of the marketing campaign. All submissions are made via BREO. A template can be used for reports.

1. Apply an ADM technique to solve the Bank Marketing task presented by a benchmark data
2. Analyse problems required to develop a solution providing a high prediction accuracy on a given data set
3. Identify a set of parameters which are required to be adjusted within an ADM technique in order to optimise the solution
4. Explain how the parameters of an ADM technique influence the prediction accuracy
5. Run experiments in order to verify the solution on a given data set
6. Analyse and compare the results of the experiments in a group and with the known from the literature.
7. Optionally make a 5-min video presentation and include a link to the Appendix in reports

Attachment:- Advanced Data Mining Techniques for Direct Marketing Campaigns.rar

Reference no: EM133067903

Questions Cloud

Golden rules of interface design for mobile applications : What are the Golden Rules of Interface Design for mobile applications?

What is Jerry RRSP contribution limit : Big Bank Financial has a defined contribution pension plan, and in 2020 Jerry earned $110,000 a year. What is Jerry's RRSP contribution limit for 2020

Describe digital literacy : Describe Digital Literacy (how to know what is real on the web). What are some drawbacks to crowd sourced answers? Why did Skynet declare war on the human race?

Calculate the future value of this annuity : Your friend Lilly wants to invest in an annuity for 5 years in order to have at least R100 000 at the end. Calculate the future value of this annuity

Advanced data mining techniques for direct marketing : Advanced Data Mining Techniques for Direct Marketing Campaigns - design a solution, students will apply ADM techniques discussed in lectures

Computerized medical office management : What are the pros and cons of using an EHR system in a medical practice? Would the benefits vary depending on the size of the practice?

How much can she contribute to her RRSP : Eleanor employer has a pension plan for all of its employees. If Eleanors pension adjustment from her employer is $7,500, how much can she contribute

Common security threats and vulnerabilities : Define and explain 5 most common Security Threats and Vulnerabilities.

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

User Account

All Pages