Beitrag in einem Sammelband
Efficient Mining of Association Rules Based on Formal Concept Analysis



Details zur Publikation
Autor(inn)en:
Lakhal, L.; Stumme, G.
Herausgeber:
Ganter, Bernhard; Stumme, Gerd; Wille, Rudolf
Verlag:
Springer
Verlagsort / Veröffentlichungsort:
Heidelberg
Publikationsjahr:
2005
Seitenbereich:
180-195
Buchtitel:
Formal Concept Analysis: Foundations and Applications
Titel der Buchreihe:
LNAI
Jahrgang/Band:
3626

Zusammenfassung, Abstract
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.


Schlagwörter
analysis, association, book, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemsets, kdd, knowledge, l3s, mining, representations, rules


Autor(inn)en / Herausgeber(innen)

Zuletzt aktualisiert 2019-25-07 um 15:55