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https://www.quora.com/What-is-support-and-confidence-in-data-mining
[math]Wine → Cheese [Support: 9\%, Confidence: 65\%][/math] Support : is the percentage of transactions in T that contain both wine and Cheese together. (9% of …
https://searchcustomerexperience.techtarget.com/answer/Confidence-and-support-in-data-mining
Sep 21, 2001 · Support used in Data Mining/Intelligence These are fairly ubiquitous words in and out of the spaces of DM/BI/mining, but confidence can refer to the anticipated range of an output variable given a set of input variable values.
https://stats.stackexchange.com/questions/229523/association-rules-support-confidence-and-lift
I know that support is P(XY), confidence is P(XY)/P(X) and lift is P(XY)/P(X)P(Y), where the lift is a measurement of independence of X and Y (1 represents independent) However, I just don't know how to interpret rules with these indicators. I have rules with high support,...
https://www.researchgate.net/publication/233754781_Support_vs_Confidence_in_Association_Rule_Algorithms
Hence, a data mining language needs to be provided such that users can query only interesting knowledge to them from a large database of customer transactions. A data mining language is …
https://www.youtube.com/watch?v=iuIEVNhWtlw
Jul 22, 2014 · Association analysis: Frequent Patterns, Support, Confidence and Association Rules - Duration: 19:31. ... Data Mining Lecture - - Finding frequent item sets Apriori Algorithm ...Author: Chris Kimmer
https://www.academia.edu/648890/Support_vs_Confidence_in_Association_Rule_Algorithms
The discovery of interesting association relationships among large amounts of business transactions is currently vital for making appropriate business decisions. There are currently a variety of algorithms to discover association rules. Some of these
https://docs.oracle.com/cd/B28359_01/datamine.111/b28129/algo_apriori.htm
Support and confidence are also the primary metrics for evaluating the quality of the rules generated by the model. Additionally, Oracle Data Mining supports lift for association rules. These statistical measures can be used to rank the rules and hence the usefulness of the predictions.
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