There are session records as shown in the Table 2. Please using equal-depth binning to discretize Number of Web pages, number of bins 4, Using equal width binning to discretize Session Length, number of bins 3, Category the country attribute according to its continent (e.g. China, Japan, Korea belong to Asia, Canada and USA belong to North American). We set min-sup = 0.3 for following questions. Questions (50 marks) . Show the major steps to find the frequent patterns using Apriori of the . Show the major steps to find the frequent patterns using FP-Growth of the transactions. Based on the frequent patterns you get, which are closed frequent pat terns? Which are max frequent patterns? Session ID Country Session Length | #web 1213 2017 USA China Germany 598 France Canada 672 9 35 45 9 Yes 898 Korea China USA England 1345 998 1543 267 1702 13 10 There are session records as shown in the Table 2. Please using equal-depth binning to discretize Number of Web pages, number of bins 4, Using equal width binning to discretize Session Length, number of bins 3, Category the country attribute according to its continent (e.g. China, Japan, Korea belong to Asia, Canada and USA belong to North American). We set min-sup = 0.3 for following questions. Questions (50 marks) . Show the major steps to find the frequent patterns using Apriori of the . Show the major steps to find the frequent patterns using FP-Growth of the transactions. Based on the frequent patterns you get, which are closed frequent pat terns? Which are max frequent patterns? Session ID Country Session Length | #web 1213 2017 USA China Germany 598 France Canada 672 9 35 45 9 Yes 898 Korea China USA England 1345 998 1543 267 1702 13 10