TY  - CHAP
AU  - Lakhal, Lotfi
AU  - Stumme, Gerd
A2  - Ganter, Bernhard
A2  - Stumme, Gerd
A2  - Wille, Rudolf
T1  - Efficient Mining of Association Rules Based on Formal Concept Analysis
T2  - Formal Concept Analysis
PB  - Springer Berlin Heidelberg
C1  - 
PY  - 2005/
VL  - 3626
IS  - 
SP  - 180
EP  - 195
UR  - http://dx.doi.org/10.1007/11528784_10
DO  - 10.1007/11528784_10
KW  - association
KW  - fca
KW  - literature
KW  - rules
KW  - survey
L1  - 
SN  - 978-3-540-27891-7
N1  - Efficient Mining of Association Rules Based on Formal Concept Analysis - Springer
N1  - 
AB  - Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to 
ER  -