Q3$3$b.$.$ Consider the following set of data:

Transaction id Items

T1{$1\{$E,$,$K,$,$M,$,$N,$,$O,$,$Y}$\}$

T2{$2\{$D,$,$E,$,$K,$,$N,$,$O,$,$Y}$\}$

T3{$3\{$A,$,$E,$,$K,$,$M]$]$

T4{$4\{$C,$,$K,$,$M,$,$U,$,$Y}$\}$

T5{$5\{$C,$,$E,$,$I,K,$,$O}$\}$

Generate a conditional frequent pattern tree and generate frequent pattern rules for the above data using FP−$-$growth algorithm. Show each step.Assume minimum support count =3.$=3.$

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Based on the presented question it looks like we are given a set of transactions that include various items We need to use the FPgrowth algorithm to c... View the full answer