Minimum support=3minimum confidence=60 % TIDItem-listT100 | {C,N,K,E,I}{M,U,C,K,Y}{C,M,K,O}{D,0,N,K,E,Y}{C,O,M,K,E,Y}{M,A,K,E}T700 | {C,0,0,K,I,E}{K,N,U,Y}{A,E,I,O,U}Table 1T200ТЗ00T400T500T600T800Т900Use Table 1 to find the frequent itemsets usingFP-growth algorithm. .

FP growth(Frequent pattern growth) :It stores all the transactions in a Trie Data Structure. The…

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Use Table 1 to find the frequent itemsets using FP-growth algorithm. .

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Minimum support=3

minimum confidence=60 %

TID
Item-list
T100 | {C,N,K,E,I}
{M,U,C,K,Y}
{C,M,K,O}
{D,0,N,K,E,Y}
{C,O,M,K,E,Y}
{M,A,K,E}
T700 | {C,0,0,K,I,E}
{K,N,U,Y}
{A,E,I,O,U}
Table 1
T200
ТЗ00
T400
T500
T600
T800
Т900
Use Table 1 to find the frequent itemsets using
FP-growth algorithm. .

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