Pooja, This JIRA issue is long since closed as Won't Fix. The reason is that this effort has been superseded by the other frequent itemset software that Robin implemented.
On Tue, Mar 22, 2011 at 3:42 PM, Pooja Sharma (JIRA) <[email protected]>wrote: > > [ > https://issues.apache.org/jira/browse/MAHOUT-108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13009882#comment-13009882] > > Pooja Sharma commented on MAHOUT-108: > ------------------------------------- > > Hello Chao Deng, > > Can you please share/upload the code so that we can reference the code to > see how it does item set generation in a paralle fashion > > Thanks > Pooja > > > Implementation of Assoication Rules learning by Apriori algorithm > > ----------------------------------------------------------------- > > > > Key: MAHOUT-108 > > URL: https://issues.apache.org/jira/browse/MAHOUT-108 > > Project: Mahout > > Issue Type: Task > > Environment: Linux, Hadoop-0.17.1 > > Reporter: chao deng > > Fix For: 0.2 > > > > Original Estimate: 504h > > Remaining Estimate: 504h > > > > Target: Association Rules learning is a popular method for discovering > interesting relations between variables in large databases. Here, we would > implement the Apriori algorithm using Hadoop&Mapreduce parallel techniques. > > Applications: Typically, association rules learning is used to discover > regularities between products in large scale transaction data in > supermarkets. For example, the rule "{onions, patatoes}->beef" found in the > sales data would indicate that if a customer buys onions and potatoes > together, he or she is likely to also buy beef. Such information can be used > as the basis for decisions about marketing activities. In addition to the > market basket analysis, association rules are employed today in many > application areas including Web usage mining, intrusion detection and > bioinformatics. > > Apriori algorithm: Apriori is the best-known algorithm to mine > association rules. It uses a breadth-first search strategy to counting the > support of itemsets and uses a candidate generation function which exploits > the downward closure property of support > > -- > This message is automatically generated by JIRA. > For more information on JIRA, see: http://www.atlassian.com/software/jira >
