BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5 5,"","lakhal2005efficient","Lakhal, Lotfi & Stumme, Gerd","Efficient Mining of Association Rules Based on Formal Concept Analysis","",3626,,"","180-195",2005,"Heidelberg","","http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf","Formal Concept Analysis: Foundations and Applications","","","LNAI","Ganter, Bernhard; Stumme, Gerd & Wille, Rudolf","Springer","","","","","","","Association rules are a popular knowledge discovery technique forwarehouse basket analysis. They indicate which items of thewarehouse are frequently bought together. The problem of associationrule mining has first been stated in 1993. Five years later, severalresearch groups discovered that this problem has a strong connectionto Formal Concept Analysis (FCA). In this survey, we will firstintroduce some basic ideas of this connection along a specificalgorithm, \titanic, and show how FCA helps in reducing the numberof resulting rules without loss of information, before giving ageneral overview over the history and state of the art of applyingFCA for association rule mining.","","2005, analysis, association, book, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemsets, kdd, knowledge, l3s, mining, myown, representations, rules","",""