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https://www.quora.com/What-is-support-and-confidence-in-data-mining
Let me give you an example of “frequent pattern mining” in grocery stores. Customers go to Walmart, tesco, Carrefour, you name it, and put everything they want into their baskets and at the end they check out. Let’s agree on a few terms here: * T:...
https://stackoverflow.com/questions/15261748/how-to-calculate-confidence-from-support-in-java
Mar 25, 2014 · The confidence definition on the other hand is pretty straightforward. Compute a rule, then compute the confidence by the support of the full item set and the head only. Apparently you already have the support, so computing the confidence should be two lookups to your DB of support …
https://stackoverflow.com/questions/25322204/minimum-support-and-minimum-confidence-in-data-mining
Choosing them depends on your data. For the minimum support, I use 80 % on some data. For some other data, I use 0.05 %. It all depends on the dataset. Usually, I start with a high value, and then I decrease the values until I find a value that will generate enough patterns.
https://t4tutorials.com/support-confidence-minimum-support-frequent-itemset-in-data-mining/
Support, Confidence, Minimum support, Frequent itemset, K-itemset, absolute support in data mining – Click Here Apriori Algorithm in Data Mining with examples – Click Here Apriori principles in data mining, Downward closure property, Apriori pruning principle – Click Here
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.youtube.com/watch?v=QN3_wxqnSlw
Sep 19, 2017 · This lecture provides the introductory concepts of Frequent pattern mining in transnational databases. ... Frequent Patterns, Support, Confidence and Association Rules ... Data Mining Lecture ...Author: StudyKorner
https://www.researchgate.net/publication/233754781_Support_vs_Confidence_in_Association_Rule_Algorithms
Support vs Confidence in Association Rule Algorithms. ... a data mining language needs to be provided such that users can query only interesting knowledge to them from a large database of customer ...
https://www-users.cs.umn.edu/~kumar/dmbook/dmslides/chap6_basic_association_analysis.pdf
Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar ... – Compute the support and confidence for each rule – Prune rules that fail the minsup and minconf thresholds ⇒Computationally prohibitive!
https://stats.stackexchange.com/questions/229523/association-rules-support-confidence-and-lift
We then have a support of 25% - that is pretty high for most data sets. We also have a confidence of 50% - that is also pretty good. If 50% of my visitors buy a product I recommend I would be a billionaire. But the lift is just 1, i.e. no improvement. Beware that on other data sets, you won't get anywhere near 25% support.
https://www.slideshare.net/zafarjcp/data-mining-association-rules-basics
Dec 06, 2009 · 9 Given a set of transactions T, the goal of association rule mining is to find all rules having support ≥ minsup threshold confidence ≥ minconf threshold Brute-force approach: List all possible association rules Compute the support and confidence for each rule Prune rules that fail the minsup and minconf thresholds Brute-force approach is ...
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