Highlights
Task:
You may use data mining packages (e.g. WEKA). Or implement the data mining algorithms yourself, in any programming language. Make clear in your report what existing software you are using.
Phase 5: Compare models and assess results (4 marks)
Compare the efficiency of the techniques used in phase 4, draw conclusions from the data models and assess their validity. Translate the results into a business decision and mention how they help the organization to improve decision-making processes and gain competitive advantage.
Phase 6: The Project Presentation (10 Marks)
Each group of students should present their work in front of their classmates. The assessment of the project presentation is based on the following criteria:
• Accuracy of the presentation;
• Presentation skills;
• Quality of discussion of each student in the group.
The deliverables of the project are:
A project report maximum 15 pages in in MS-word format that includes most of the below, plus other material if needed:
• data description
• problem definition
• data preprocessing
? data mining algorithms used and why
• evaluation, graphs of experiments, result tables
• screenshots if the program has an interesting user interface
• discussion on what was hard to achieve, limitations
• observations, conclusions
The assessment of the project report is based on the following criteria:
• Quality of analysis;
• Accuracy of concepts/theories used
; • General organization of the project; ? Variety of references;
• Spelling and grammar.
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