Confidence vs. Count in association rule mining: which one is better? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhat is the relationship between clustering and association rule mining?Association rule mining interpretationAssociation Rules - Data Mining - Train and Test approach?Association Rule Learning for Home Electricity or Water Data?Survival Analysis: Pseudo Observation Vs Stratified Cox Regression. Which one is better?Which data mining or machine learning algorithm would be appropriate for learning ordered frequent patterns?What is confidence reflexivity in association rules?Mining Association rules from a data warehouse and a transactional databaseBetter way to graph percentage of One Categorical Variable by another in R
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Confidence vs. Count in association rule mining: which one is better?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat is the relationship between clustering and association rule mining?Association rule mining interpretationAssociation Rules - Data Mining - Train and Test approach?Association Rule Learning for Home Electricity or Water Data?Survival Analysis: Pseudo Observation Vs Stratified Cox Regression. Which one is better?Which data mining or machine learning algorithm would be appropriate for learning ordered frequent patterns?What is confidence reflexivity in association rules?Mining Association rules from a data warehouse and a transactional databaseBetter way to graph percentage of One Categorical Variable by another in R
$begingroup$
I am writing a program that mines association rules from a large data set. I have an array of association rules, and I have to decide which ones are more representative of the patterns I am studying.
Example given:
[ rule support confidence lift count]
burger -> beer 0.125 1 8 2
cheese -> coke 0.25 0.25 1 4
Being "count" the number of times this rule is satisfied in the data set. The question is: which one should I consider as the most representative of the general behavior of my customers?
Is it better to choose a rule that has been observed a few times (low support and count), but it is very likely to happen (high confidence and lift)? Or is it better to choose a very repeated rule without such a high probability?
statistics decision-trees probability association-rules math
asked 2 hours ago
xvlazexvlaze
1062
$endgroup$
add a comment |
$begingroup$
I am writing a program that mines association rules from a large data set. I have an array of association rules, and I have to decide which ones are more representative of the patterns I am studying.
Example given:
[ rule support confidence lift count]
burger -> beer 0.125 1 8 2
cheese -> coke 0.25 0.25 1 4
Being "count" the number of times this rule is satisfied in the data set. The question is: which one should I consider as the most representative of the general behavior of my customers?
Is it better to choose a rule that has been observed a few times (low support and count), but it is very likely to happen (high confidence and lift)? Or is it better to choose a very repeated rule without such a high probability?
statistics decision-trees probability association-rules math
asked 2 hours ago
xvlazexvlaze
1062
$endgroup$
add a comment |
$begingroup$
I am writing a program that mines association rules from a large data set. I have an array of association rules, and I have to decide which ones are more representative of the patterns I am studying.
Example given:
[ rule support confidence lift count]
burger -> beer 0.125 1 8 2
cheese -> coke 0.25 0.25 1 4
Being "count" the number of times this rule is satisfied in the data set. The question is: which one should I consider as the most representative of the general behavior of my customers?
Is it better to choose a rule that has been observed a few times (low support and count), but it is very likely to happen (high confidence and lift)? Or is it better to choose a very repeated rule without such a high probability?
statistics decision-trees probability association-rules math
asked 2 hours ago
xvlazexvlaze
1062
$endgroup$
I am writing a program that mines association rules from a large data set. I have an array of association rules, and I have to decide which ones are more representative of the patterns I am studying.
Example given:
[ rule support confidence lift count]
burger -> beer 0.125 1 8 2
cheese -> coke 0.25 0.25 1 4
Being "count" the number of times this rule is satisfied in the data set. The question is: which one should I consider as the most representative of the general behavior of my customers?
Is it better to choose a rule that has been observed a few times (low support and count), but it is very likely to happen (high confidence and lift)? Or is it better to choose a very repeated rule without such a high probability?
statistics decision-trees probability association-rules math
statistics decision-trees probability association-rules math
asked 2 hours ago
xvlazexvlaze
1062
asked 2 hours ago
xvlazexvlaze
1062
asked 2 hours ago
xvlazexvlaze
1062
asked 2 hours ago
xvlazexvlaze
1062
asked 2 hours ago
xvlazexvlaze
1062
1062
add a comment |
add a comment |
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