[
https://issues.apache.org/jira/browse/HIVEMALL-280?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16983854#comment-16983854
] Makoto Yui commented on HIVEMALL-280: ------------------------------------- It's just 2 pair computation but Apriori-algorithm is known to be efficient for computing k-pair rules where k >= 2. [https://medium.com/edureka/apriori-algorithm-d7cc648d4f1e] [https://www.geeksforgeeks.org/apriori-algorithm/] [https://codereview.stackexchange.com/questions/104637/apriori-algorithm-for-frequent-itemset-generation-in-java] [https://github.com/seratch/apriori4j] R's arules library support lift value as well. [http://r-statistics.co/Association-Mining-With-R.html#Caveat%20with%20using%20Lift] [https://www.kdnuggets.com/2016/04/association-rules-apriori-algorithm-tutorial.html/2] > Support lift/confidence/support UDF > ----------------------------------- > > Key: HIVEMALL-280 > URL: https://issues.apache.org/jira/browse/HIVEMALL-280 > Project: Hivemall > Issue Type: New Feature > Reporter: Makoto Yui > Assignee: Makoto Yui > Priority: Minor > > Support lift/confidence/support UDAF > [https://en.wikipedia.org/wiki/Lift_(data_mining]) > [https://towardsdatascience.com/a-gentle-introduction-on-market-basket-analysis-association-rules-fa4b986a40ce] > [https://medium.com/@samratjain/explained-market-basket-analysis-using-sql-a7434f30e649] > {code:java} > select > item, other_item, > lift(...) as lift, > confidence (....) as confidence > from > transaction > group by > 1, 2{code} -- This message was sent by Atlassian Jira (v8.3.4#803005)
