1 |
Wu, X., Zhang, C. and Zhang, S. (2004). Efficient mining of both positive and negative association rules. ACM Transactions on Information Systems, 22, 381-405
DOI
ScienceOn
|
2 |
Park, H. C. (2010b). Development of associative rank decision function using basic association rule thresholds. Journal of the Korean data Analysis Society, 12, 961-971.
|
3 |
Park, H. C. (2010c). Proposition of symmetric confidence considering relative size of item frequencies. Journal of the Korean data Analysis Society, 12, 1463-1472.
|
4 |
Park, H. C. (2010d). Association rule ranking fuction using conditional probability increment ratio. Journal of the Korean data & Information science Society, 21, 709-717.
과학기술학회마을
|
5 |
Park, H, C. (2008). The proposition of conditionally pure confidence in association rule mining. Journal of the Korean data & Information science Society, 19, 1141-1151.
과학기술학회마을
|
6 |
Park, H. C. (2010a). Association rule ranking function by decreased lift influence. Journal of the Korean data & Information science Society, 21, 397-405.
과학기술학회마을
|
7 |
Agrawal, R., Imielinski, T. and Swami, A. (1993). Mining association rules between sets of items in large databases. Proceedings of the ACM SIGMOD Conference on Management of data, 207-216.
|
8 |
Agrawal, R. and Srikant, R. (1994). Fast algorithms for mining association rules. Proceedings of the 20th International Conference on VLDB, 487-499.
|
9 |
Cho, K. H. and Park, H. C. (2007). Association rule mining by environmental data fusion. Journal of the Korean data & Information Science Society, 18, 279-287.
과학기술학회마을
|
10 |
강현철, 한상태, 최종후, 이성건, 김은석, 엄익현, 김미경 (2006). <데이터마이닝 방법론>, 자유아카데미, 경기도.
|