Consider the traffic accident data set shown in Table 7.1. (a) Show a binarized version of the
Question:
(a) Show a binarized version of the data set.
(b) What is the maximum width of each transaction in the binarized data?
(c) Assuming that support threshold is 30%, how many candidate and frequent itemsets will be generated?
Table 7.2. Traffic accident data set
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(d) Create a data set that contains only the following asymmetric binary attributes: (Weather = Bad, Driver's condition = Alcohol-impaired, Traffic violation = Yes, Seat Belt = No, Crash Severity = Major). For Traffic violation, only None has a value of 0. The rest of the attribute values are assigned to 1. Assuming that support threshold is 30%, how many candidate and frequent itemsets will be generated?
(e) Compare the number of candidate and frequent itemsets generated in parts (c) and (d).
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a See Table 72 b 5 c The number of candidate itemsets from siz...View the full answer
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Related Book For 
Introduction to Data Mining
ISBN: 978-0321321367
1st edition
Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar
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