Use R to mine actual data for a problem of interest. These could be data from a problem from your current job if you have one, something of interest to the School of Management or College, data acquired from the web, etc. (there are suggestions as to places where you can find relevant data on the electronic reading list for this course). You will design the data mining task, mine the data, and describe your results. You also will research existing solutions to the problem, if any have been proposed or documented. Your own data and results need not be on a par with actual industry results; the goal is for you to get as realistic a hands-on experience as possible, given the constraints of what you have learned.
You should use the CRISP-DM data mining process to structure your research and report. Keep in mind that it may be ineffective simply to proceed linearly through the steps, and this may need to be reflected in your analysis. You should interact with me from the preparation of your initial ideas through to the preparation of your report, as a consultant would interact with a firm or funding source in preparing a research report. Use your imagination, prior experience, or ask for help to fill in any gaps between the material available and what you would be able to find out if you actually could interact with the client firm.
• Identify, define, and motivate the business problem that you are addressing.
• How (precisely) will a data mining solution address the business problem?
• Identify and describe the data (and data sources) that will support data mining to address the business problem. Include those aspects of the data that we talk about in class and/or in the quizzes.
• Specify how these data are integrated to produce the format required for data mining.
• Specify the type of model(s) built and/or patterns mined.
• Discuss choices for data mining algorithm: what are alternatives, and what are the pros and cons?
• Discuss why and how this model should “solve” the business problem (i.e., improve along some dimension of interest to the firm).
• Discuss how the result of the data mining is/should be evaluated. How should a business case be developed to project expected improvement? ROI? If this is impossible/very difficult, explain why and identify any viable alternatives.
• Discuss how the result of the data mining will be deployed.
• Discuss any issues the firm should be aware of regarding deployment.
• Are there important ethical considerations?
• Identify the risks associated with your proposed plan and how you would mitigate them.
I learnt to perform review for a speculation holding organization (ELC Success Pte Ltd). Toward the beginning of review, I arranged lead plan utilizing the customers' administration accounts i.e. trial adjust report. Utilizing earlier year's layout as a guide, I exchanged the last evaluated figures to the most recent year figures segment (2009) in current year's format and after that entered in current year (2010) figures under the unaudited figures. I would guarantee the figures in the individual areas, for example, money and money counterparts fixing to both monetary record and benefit and misfortune report before I begin my review arranging. I read the earlier year's document to have a superior comprehension of the customer and observe any exceptional issues during the current year's review. I at that point continued with the fruition of arranging structures, for example, engagement hazard poll, freedom survey, materiality assurance frame and so on to comprehend the customer's business. Engagement chance survey recognizes the hazard level through components like possession, administration, business condition, money related and liquidity contemplations to decide whether we ought to acknowledge/dismiss the review. Freedom poll is an assessment of the organization's consistence with moral measures and to guarantee that there are no dangers to autonomy. Materiality assurance frame reports the figuring of arranging materiality which manages the degree of the review methods performed. It empowers us to propose either changing or waiver review modifications in light of as far as possible. Subsequent to finishing the arranging frames, I organized an inside arranging meeting with my director. The gathering featured any issues that I needed to observe during the current year's review, for example, venture property, both current and conceded assesses and to survey my arranging frames in the meantime. Once the structures were endorsed and marked by my administrator, I began my review hands on work by following the review methods intently in the manual review program sheets (MAPS) on the different areas like income and so forth. I acquired the examination of income and checked the throws. After which, I consent to the record and cross reference the supporting investigation to the lead plan. I likewise looked into and archived the customer's income acknowledgment approach. For the segment on income from the utilization of benefits, I performed rental sensibility test to test the culmination for the amount of units of advantages claimed by the organization and checked the aggregate income by applying the rates in the rental contract. What's more, I examined the diaries to recognize any major or irregular exchanges. In the wake of finishing the program sheets on the distinctive segments, I drafted current year's money related articulations, with the assistance of a bookkeeping rules book and earlier year's budgetary explanations. I revised the wordings as per the book and refreshed the present year's figures in light of the reviewed figures in the number one spot plans. >GET ANSWER