Which one is not correct about the following rule: bread = milk [support 20%,confidence 30%] a) A support of 20% means that 20% of all the transactions under analysis show that bread and milk are purchased together b) A confidence of 30% means that 60% of the customers who purchased a bread also bought the milk c) milk and bread are purchased with 50% probability d) Support and confidence reflect the coverage and certainty of discovered rules

Which one is not correct about the following rule: bread = milk [support 20%,confidence 30%] a) A support of 20% means that 20% of all the transactions under analysis show that bread and milk are purchased together b) A confidence of 30% means that 60% of the customers who purchased a bread also bought the milk c) milk and bread are purchased with 50% probability d) Support and confidence reflect the coverage and certainty of discovered rules

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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D Question 10 Suppose that you are using a [support, confidence, lift] framework to analyze whether the strong association rule AB is interesting. Which conclusion would you make if the data obtained were A B [20%, 80%, 0.7]? ✓ [Select] The occurrence of A likely leads to the absence of B The occurrence of A likely leads to the occurrence of B There is likely no association between A and B • Previous
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As shown in Table 3, these are the frequent item sets has been bought in UTM Market that shows the FOUR (4) sample transactions, Table 3: Frequently Bought Items Items Bought TransactionsID 001 Sandwich, Sanitizer-Products, Stationary Sanitizer-Products, Stationary 002 003 004 Sandwich, Sanitizer-Products, Chocolates Sandwich, Sanitizer-Products Sandwich, Chocolates 005 Given the set of transactions, find the rules that will predict the occurrences of an item based on occurrences of other items in the transactions. Calculate the support, confidence, and lift. Discuss the obtained results.