-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
ACM, New York, NY, USA
-
Agrawal R, Imielinski T & Swami A, Mining association rules between sets of items in large databases, in Proc ACM SIGMOD (ACM, New York, NY, USA) 1993, 207-216.
-
(1993)
Proc ACM SIGMOD
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
2
-
-
33745326371
-
Discovering fuzzy association rules with interest and conviction measures
-
Proc KES 2005 Springer; Heidelberg, Germany
-
Sai Krishna K, Radha Krishna P & Supriya Kumar De, Discovering fuzzy association rules with interest and conviction measures, in Proc KES 2005 (Springer; Heidelberg, Germany), LNCS 3684, 2005, 101-107.
-
(2005)
LNCS
, vol.3684
, pp. 101-107
-
-
Sai Krishna, K.1
Radha Krishna, P.2
Supriya Kumar, D.3
-
3
-
-
0348132918
-
Mining fuzzy association rules in databases
-
Chan Man Kuok, Ada Wai-Chee Fu, & Man Hon Wong, Mining fuzzy association rules in databases, SIGMOD Record, 27 (1998) 41-46.
-
(1998)
SIGMOD Record
, vol.27
, pp. 41-46
-
-
Chan, M.1
Wai-Chee Fu, A.2
Man, H.3
-
4
-
-
84976830511
-
An effective hasb based algorithm for mining association rules
-
ACM, New York, NY, USA
-
Park J S, Chen M S & Yu P S, An effective hasb based algorithm for mining association rules, in Proc ACM SIGMOD (ACM, New York, NY, USA) 1995, 175-186.
-
(1995)
Proc ACM SIGMOD
, pp. 175-186
-
-
Park, J.S.1
Chen, M.S.2
Yu, P.S.3
-
5
-
-
0002401815
-
Discovery of multiple-level association rules from large databases
-
Morgan Kaufmann Publishers, San Francisco, CA
-
Han J & Fu Y, Discovery of multiple-level association rules from large databases, in Proc 21st Int Conf Very Large Databases (Morgan Kaufmann Publishers, San Francisco, CA) 1995, 420-431.
-
(1995)
Proc 21st Int Conf Very Large Databases
, pp. 420-431
-
-
Han, J.1
Fu, Y.2
-
6
-
-
0030157416
-
Mining quantitative association rules in large relational tables
-
ACM, New York, NY, USA
-
Srikant R & Agrawal R, Mining quantitative association rules in large relational tables, in Proc ACM SIGMOD (ACM, New York, NY, USA) 1996, 1-12.
-
(1996)
Proc ACM SIGMOD
, pp. 1-12
-
-
Srikant, R.1
Agrawal, R.2
-
7
-
-
4544256238
-
An effective algorithm for mining interesting quantitative association rules
-
ACM, New York, NY, USA
-
Chan K C C & Au W H, An effective algorithm for mining interesting quantitative association rules, in Proc 12th ACM Syrnp on Applied Computing (SAC'97) (ACM, New York, NY, USA) 1997, 88-90.
-
(1997)
Proc 12th ACM Syrnp on Applied Computing (SAC'97)
, pp. 88-90
-
-
Chan, K.C.C.1
Au, W.H.2
-
8
-
-
0031162287
-
Association rules over interval data
-
ACM, New York, NY, USA
-
Miller R J & Yang Y, Association rules over interval data, in Proc ACM S1GMOD (ACM, New York, NY, USA) 1997, 452-461.
-
(1997)
Proc ACM S1GMOD
, pp. 452-461
-
-
Miller, R.J.1
Yang, Y.2
-
9
-
-
84880892647
-
A genetic algorithm for mining quantitative association rules
-
IJCAI, Hyderabad, India
-
Ansaf Salleb-Aouissi, Christel Vrain & Cyril Nortet, QuantMiner: A genetic algorithm for mining quantitative association rules, in Proc Int Joint Conf Artificial Intelligence (IJCAI, http://www.ijcai.org/ papers07/contents.php, Hyderabad, India) 2007, 1035-1040.
-
(2007)
Proc Int Joint Conf Artificial Intelligence
, pp. 1035-1040
-
-
Salleb-Aouissi, A.1
Vrain, C.2
Cyril Nortet, Q.3
-
10
-
-
0001681372
-
Statistical theory for quantitative association rules
-
ACM, New York, NY, USA
-
Aumann Y & Lindell Y A, Statistical theory for quantitative association rules, in Proc KDD99 (ACM, New York, NY, USA) 1999, 261-270.
-
(1999)
Proc KDD99
, pp. 261-270
-
-
Aumann, Y.1
Lindell, Y.A.2
-
11
-
-
26944443845
-
Mining quantitative association rules on overlapped intervals
-
Proc ADMA Springer, Heidelberg, Germany
-
Qiang T, Baoping Y & Yuanchun Z, Mining quantitative association rules on overlapped intervals, in Proc ADMA (Springer, Heidelberg, Germany) LNAI 3584, 2005, 43-50.
-
(2005)
LNAI
, vol.3584
, pp. 43-50
-
-
Qiang, T.1
Baoping, Y.2
Yuanchun, Z.3
-
12
-
-
0000570991
-
Finding fuzzy sets for the mining of fuzzy association rules for numerical attributes
-
Springer, Heidelberg, Germany ISBN-10: 9814021237
-
Fu A, Wong M, Sze S, Wong W, Wong W & Yu W, Finding fuzzy sets for the mining of fuzzy association rules for numerical attributes, in Proc Int Symp Intelligent Data Engg & Learning (Springer, Heidelberg, Germany) ISBN-10: 9814021237, 1998, 263-268.
-
(1998)
Proc Int Symp Intelligent Data Engg & Learning
, pp. 263-268
-
-
Fu, A.1
Wong, M.2
Sze, S.3
Wong, W.4
Wong, W.5
Yu, W.6
-
13
-
-
36448965783
-
Mining fuzzy rules from quantitative data based on the aprioriTid algorithm
-
ACM, New York, NY, USA
-
Hong Tzung-Pei, Chan-Sheng Kuo, Sheng-Chai Chi & Shyue-Liang Wang, Mining fuzzy rules from quantitative data based on the aprioriTid algorithm, in Proc 15th Symp Applied Computing (ACM, New York, NY, USA) 2000, 534-536.
-
(2000)
Proc 15th Symp Applied Computing
, pp. 534-536
-
-
Hong, T.-P.1
Kuo, C.-S.2
Chi, S.-C.3
Wang, S.-L.4
-
14
-
-
33746900992
-
Determining appropriate membership functions to simplify fuzzy induction
-
Hong Tzung-Pei & Wang S L, Determining appropriate membership functions to simplify fuzzy induction, Int J Intelligent Data Analysis, 4 (2000) 51-66.
-
(2000)
Int J Intelligent Data Analysis
, vol.4
, pp. 51-66
-
-
Hong, T.-P.1
Wang, S.L.2
-
16
-
-
34248666540
-
-
Zadeh L A, Fuzzy sets, Information and Control, 8 (1965) 338-356.
-
Zadeh L A, Fuzzy sets, Information and Control, 8 (1965) 338-356.
-
-
-
|