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国科大数据挖掘莹第三次作业
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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.
2021-09-06 18:12:49 959KB 2019 答案 数据挖掘
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基于HTML5的旅游移动导览系统的研究与实现_
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2021-09-05 21:02:16 497KB 网络基础 http
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详细介绍数理逻辑引论与归结原理,主要是数理逻辑方面。
2021-09-04 15:41:19 4.36MB 刘国俊 数理逻辑 归结原理
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嘉心理学基础30讲
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