How to find the minimum support in Apriori algorithm

data-mining apriori
Chanikag picture Chanikag · Apr 28, 2012 · Viewed 60.8k times · Source

When the percentage values of support and confidence is given how can I find the minimum support in Apriori algorithm. For an example when support and confidence is given as 60% and 60% respectively what is the minimum support?

Answer

Phil picture Phil · May 1, 2012

The support and confidence are measures to measure how interesting a rule is.

The minimum support and minimum confidence are set by the users, and are parameters of the Apriori algorithm for association rule generation. These parameters are used to exclude rules in the result that have a support or a confidence lower than the minimum support and minimum confidence respectively.

So to answer your question, when you say that: "For an example when support and confidence is given as 60% and 60% respectively what is the minimum support?" you probably mean that you have set the minimum support and confidence to 60 %.

I think that you are just confused by the terms.

Related questions

Writing rules generated by Apriori

I'm working with some large transactions data. I've been using read.transactions and apriori (parts of the arules package) to mine for frequent item pairings. My problem is this: when rules are generated (using "inspect()") I can easily view them …

Read More
Supermarket dataset for Apriori algorithm

'I have to develop a software which is meant for Business Analyst of “Future Stores” Supermarket, the software performs the Association Rule Mining on given transitional data of supermarket sales transactions and prepares Discounting policy by preparing Combo. The software …

Read More
Minimum confidence and minimum support for Apriori

What are appropriate values for minimum confidence and minimum support values for the Apriori algorithm? How could you tweak them? Are they fixed values, or do they change during the running of the algorithm? If you have used this algorithm …

Read More