For this project, you will write a 3-5 page APA formatted paper on a business problem that requires data mining. You will select an organization that has a business problem that requires data mining,
ITS 632 –Introduction to Data Mining
Final Term Paper Information
Requirement for this Week ONLY:
Submission of “Paper Topic and Preliminary References”
End of Course Assignment:
For this project, you will write a 3-5 page APA formatted paper on a business problem that requires data mining. You will select an organization that has a business problem that requires data mining, why the problem is interesting, the general approach you plan to take, what kind of data you plan to use, and finally how you plan to get the data. You should describe your problem, approach, dataset, data analysis, evaluation, discussion, references, and so on, in sufficient details, and you need to show supporting evidence in tables and/or figures. You need to provide captions for all tables and figures.
The paper should include the following sections each called out with a Headers.
Introduction: Overview of the Term Paper.
Background: The section should be a Company Overview that includes the company name, the industry they are in and a general overview of the organization.
Challenges: Discuss the challenges that the organization have with a particular business problem around data mining.
Solution: Describe the organization’s Data Mining implementation and the benefits they realized from the implementation. What was the result of implementing Data Mining? Did they meet their objectives for fall short?
Conclusion: Summarize the most important ideas from the paper and also make recommendations or how they might have achieved even greater success.
References: Please include a separate reference page with at least 3 references.
The paper must adhere to APA guidelines including Title and Reference pages. There should be at least three scholarly sources listed on the reference page. Each source should be cited in the body of the paper to give credit where due. Per APA, the paper should use a 12-point Time New Roman font, should be double spaced throughout, and the first sentence of each paragraph should be indented .5 inches. The body of the paper should be 3 - 5 pages in length. The Title and Reference pages do not count towards the page count requirements.
Your paper should include an abstract and a conclusion and a reference page with 3-5 references.
Requirements:
Submission of “Paper Topic and Preliminary References” Submission of final paper due on @5:00 PM EST (NOTE: No Late Papers Accepted. Papers not turned in by the due date will receive a grade of ZERO!)
Data mining problems for the enterprise.
Abstract:
(Kolkas, 2014)Data mining Planning is a situation, which is regularly rich of information about the venture. Information stockroom online explanatory preparing procedures gave leaders many valuable apparatuses to break down report and graphically speak to information of the ERP. It tends to be said that OLAP instruments gives diverse summed up points of view of the information. Then again, Data mining procedures can find beforehand obscure examples of information. It very well may be said that information mining gives a more profound look in the information. Data Mining is the procedure of investigation and examination to find significant connections, examples and patterns by filtering through a lot of information put away in repositories. On the most significant applications focused by Data Mining is Business Intelligence. Utilizing information mining, organizations might have the option to perform successful market examination, think about client criticism, recognize comparative items, hold exceptionally significant clients and settle on brilliant business choices. Information Mining utilizes numerous few prescient and factual techniques to investigate and break down information. Such techniques incorporate affiliation rule, straight relapse, neural systems, relapse trees, bunch investigation and grouping trees.
References
Kolkas, M. K. (2014, fed 20). Integrated Data Mining Techniques. Retrieved from https://www.researchgate.net/profile/Hazem_El-Bakry/publication/281278975_Integrated_Data_Mining_Techniques_in_Enterprise_Resource_PlanningERP_Systems/links/55decab408ae7983897d1cc1/Integrated-Data-Mining-Techniques-in-Enterprise-Resource-PlanningERP-Syst
