Businesses Intelligence

Title: Comparative Studies of BI Techniques Write a 2000 words research paper on comparative studies of 2 types of data mining / BI analysis techniques. You must demonstrate substantial research beyond the scope of the lectures. Your research paper must comprise of the following headers: 1. Title 2. Abstract  a. Maximum number of words : 120 words 3. Introduction  a. Objective of the coursework b. An overview of the coursework 4. Methodology  a. Introduction to the chosen techniques b. Discussion of the reasons why you chose them for comparison. 5. Simulations  a. Introduction of the dataset b. Input encoding / input representation (How and why?) c. Procedures or how the implementation was carried out d. Explain the reasons why the particular software or tool was chosen, this may include comparisons with other tools Note: i. The dataset you use in the implementation algorithm should consist of at least 100 instances, or more than 200 for a dataset with only a few attributes. Here are some online dataset repositories, feel free to use one or come up with your own: UCI KDD Archive : [login to view URL] UCI Machine Learning Repository:[login to view URL]~mlearn/[login to view URL] 6. Results and Analysis  a. Detailed analysis of the results, such as compare, contrast between the results obtained from the simulations of the two types of BI Analysis techniques with the appropriate screen dumps b. Problems encountered and the solutions.4 7. Conclusions  a. Conclusions and comments