【文件属性】：
文件名称：国科大刘莹数据挖掘第二次作业.pdf
文件大小：959KB
文件格式：PDF
更新时间：2022-11-22 09:20:20
2019 答案 数据挖掘
1．Consider the data set shown in Table 1（min_sup = 60%, min_conf=70%）.
(a) Find all frequent itemsets using Apriori by treating each transaction ID as a market basket.
(b) Use the results in part (a) to compute the confidence for the association rules {a, b}{c} and {c}{a, b}. Is confidence a symmetric measure?
(c) List all of the strong association rules (with support s and confidence c) matching the following metarule, where X is a variable representing customers, and itemi denotes variables representing items (e.g. “A”, “B”, etc.):
2．Consider the data set shown in Table 1（min_sup = 60%）.
(a) Find all frequent itemsets using FP-Growth. Please present all the FP-trees and all the conditional pattern bases.
(b) Compare the efficiency of Apriori and FP-Growth.