%0 Journal Article %1 journals/ijcistudies/NagaoS17 %A Nagao, Masahiro %A Seki, Hirohisa %D 2017 %J Int. J. Comput. Intell. Stud. %K dblp %N 4 %P 366-383 %T An FCA approach to mining quantitative association rules from multi-relational data. %U http://dblp.uni-trier.de/db/journals/ijcistudies/ijcistudies6.html#NagaoS17 %V 6

@article{journals/ijcistudies/NagaoS17, added-at = {2020-04-01T00:00:00.000+0200}, author = {Nagao, Masahiro and Seki, Hirohisa}, biburl = {https://www.bibsonomy.org/bibtex/29531096e175d3c71b24b2f3ca77ba0d2/dblp}, ee = {https://doi.org/10.1504/IJCISTUDIES.2017.10010616}, interhash = {ff34c5fd3373d5f069d7bcfb57b20ec9}, intrahash = {9531096e175d3c71b24b2f3ca77ba0d2}, journal = {Int. J. Comput. Intell. Stud.}, keywords = {dblp}, number = 4, pages = {366-383}, timestamp = {2020-04-02T11:42:00.000+0200}, title = {An FCA approach to mining quantitative association rules from multi-relational data.}, url = {http://dblp.uni-trier.de/db/journals/ijcistudies/ijcistudies6.html#NagaoS17}, volume = 6, year = 2017 }