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Points Received:10 of 10Comments:Question 10.Question :(TCO D) (CPA-05257) Which of the following is a critical success factor in data mining a large data store?Student Answer:Pattern recognition.Effective search engines.Image processing systems.Accurate universal resource locater (URL).Instructor Explanation:Choice "a" is correct. Data mining can be defined as the extraction of implicit, previously unknown, and potentially useful information from data. It is usually associated with an organization's need to identify trends. Data mining involves theprocess of analyzing the data to show patterns or relationships in that data. Thus, pattern recognition, or the ability of the data mining software to recognize the patterns (or trends), is the critical success factor for data mining (at least in the opinion of the Examiners).Choice "b" is incorrect, per the Examiners. An effective search engine is a critical success factor in data mining especially when the data store (a nice techie word meaning the database) is really large (and it is in this question). Unless the searchengine is effective, the data mining process might take a very, very long time, but it
should eventually provide results. That may be the reason why the Examiners did not think that this answer was correct. Not all of the questions on the CPA exam are good. The question asks for "a" critical success factor, not "the" critical success factor. In our opinion, both choice "a" and choice "b" should be correct.Choice "c" is incorrect. An image processing system is not a critical success factorin data mining. Image processing systems are more oriented towards the gathering of data from images, and not towards the mining or interpretation of that data.Choice "d" is incorrect. An accurate universal resource locator (URL) is not a critical success factor in data mining. A URL is a string of characters conforming to a standardized format which refers to a resource on the Internet. Data for data mining purposes is seldom, if ever, on the Internet. That would be way too slow.Points Received:10 of 10Comments: * Times are displayed in (GMT-07:00) Mountain Time (US & Canada)