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Class-Labeled Training Tuples from the AllElectronics Customer Database RID age income student credit rating buys.computer fair 1 youth 2 youth no no high no excellent

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Class-Labeled Training Tuples from the AllElectronics Customer Database RID age income student credit rating buys.computer fair 1 youth 2 youth no no high no excellent no 3 middle aged high no fair medium no low low low medium no low medium yes fair medium yes 4 senior 5 senior 6 senior yes ir excellentno excellent fair fair yes yes yes 7 middle aged 8 youth 9 youth 10 senior 11 youth 12 middle.aged medium no excellent 13 middle aged high ye fair 14 senior no yes excellent medium no excellent no 1?This problem uses the data table of Table 8 l of the text (p.338) Consider the first 5 records as the entirety of the table. (The main purpose of part (a) of this problem is to explain the relation between the file of "items" that Apriori and FP-growth work on, and data files such as this one) Interpreting the records of a file as sets of items: the set of all items is the union of the sets of values appearing in the attributes Note 1: RecordID is not to be considered an attribute. and values in column 5 as "noS" and yess". Thus the set of items is (youth, mid-aged, senior, high,.. no5, yes5). Note 2, Because columns 3 and 5 have values in common, recode values in column 3 as "203" and "yes3 fair, no5). Wnite the remaining 4 records of the g the ninimum support be 3 records, find Fi. Ca, F2. Cs, and Fs (or, using the notation of pages (a) The first record, as a set of items, is (youth, high, no3 (truncated) file a? sets of items. (16 pts) (b) Lettin 249-253 of the text, Li:C:L::Cs:L3) (20 pts)

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