data mining

Jul 5th, 2016
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CMP 627 Data MiningCMP 627 Data MiningWeek 7 Homework Assignment 11CMP 627 Data Mining1- Give an application example where global outliers, contextual outliers and collectiveoutliers are all interesting. What are the attributes, and what are the contextual andbehavioural attributes? How is the relationship among objects modelled in collectiveoutlier detection?Answer:An application example where global outliers, contextual outliers and alsocollective outliers are all interesting is credit card fraud detection. If a students credit cardcharges during the semester range from $100 to $150 but the students statement has oneexpenditure charge of $500, then the latter charge is a global outlier. If the students chargesduring the summer holidays range from $400 to $700, then the $500 spent during thesemester is a contextual outlier because it is an interesting value when the period when it wasspent is considered. Most of the students charges for the year fall between $100 to $150,hence the charges for the summer holidays, which range from $400 to $700 are collectiveoutliers.The attributes include the amount and the period when the credit was

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