Define Support And Confidence In Data Mining

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What is support and confidence in data mining? - Quora

    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 …

Confidence and support in data mining

    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.

Define support and confidence in data mining - Brainly.in

    https://brainly.in/question/3281388
    Apr 13, 2018 · Support: Support of a rule is a measure of how frequently the items involved in it occur together. Using probability notation: support (A implies B) = P(A, B). Confidence: Confidence of a rule is the conditional probability of B given A.

What is the difference between support and confidence data ...

    https://www.answers.com/Q/What_is_the_difference_between_support_and_confidence_data_mining
    Apr 23, 2014 · The word Alluvial describes a type of soil. It can be made up of sand, silt, clay, gravel, or other matter deposited by flowing water. Alluvial Mining is when a prospector gets the gold bearing soil from a creek, river or river deposits.

Minimum support and minimum confidence in Data Mining

    https://stackoverflow.com/questions/25322204/minimum-support-and-minimum-confidence-in-data-mining
    I would like to know if minimum support and minimum confidence can be automatically determined in mining association rules? If so any hint or pointer to resource would be great. data-mining apriori

(PDF) Support vs Confidence in Association Rule Algorithms

    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 …



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