For association analysis, thresholding is made with data objects with valuesabove the Support value, and the confidence values are checked for the rest.e.f.I can also evaluate the results of association analysis with the Silhouette method. Butter (g)Milk (ml)Flour (g)Water(ml)ClassSu pastryKol pastryKol pastryKol pastrySu pastrySu pastry????хо200250200200100300200150100300200хо50350300275275150175325хооX00275225150275400(Learning outcome 2: will be able to relate Data Mining Models with each other.)2. (These QUESTIONS are NOT True FALSE questions you have to state anddiscuss your answer. IF you just write TRUE / FALSE and not describe theREASONS your answer WONT be scored)

Apriori algorithm is an algorithm for frequent itemset mining and association rule learning over…

For association analysis, thresholding is made with data objects with values above the Support value, and the confidence values are checked for the rest. e. f. I can also evaluate the results of association analysis with the Silhouette method.

For association analysis, thresholding is made with data objects with values above the Support value, and the confidence values are checked for the rest. e. f. I can also evaluate the results of association analysis with the Silhouette method.

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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Class Su pastry Kol pastry Kol pastry Kol pastry Su pastry Su pastry ???? Butter (g) Milk (ml) Flour (g) Water(ml) хоо 200 200 250 200 100 300 200 150 100 300 200 хоо 50 350 300 275 150 325 хоо 275 225 275 275 175 хоо 150 400 (Learning outcome 2: will be able to relate Data Mining Models with each other.) 2. (These QUESTIONS are NOT True FALSE questions you have to state and discuss your answer. IF you just write TRUE / FALSE and not describe the REASONS your answer WONT be scored) We get rid of missing and inconsistent data with preprocess step called data editing, which is one of the data mining preprocessing step. а.
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