-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules between Sets of Items in Large Databases, " SIGMOD Record, vol. 22, pp. 207-216, 1993.
-
(1993)
SIGMOD Record
, vol.22
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
2
-
-
84891380949
-
Introduction to domain driven data mining
-
L. Cao, P. S. Yu, C. Zhang, and H. Zhang, eds., Springer
-
C. Longbing, "Introduction to Domain Driven Data Mining, " Data Mining for Business Applications, L. Cao, P. S. Yu, C. Zhang, and H. Zhang, eds., pp. 3-10, Springer, 2008.
-
(2008)
Data Mining for Business Applications
, pp. 3-10
-
-
Longbing, C.1
-
3
-
-
14844340628
-
K-optimal rule discovery
-
DOI 10.1007/s10618-005-0255-4
-
G. I. Webb and S. Zhang, "k-Optimal Rule Discovery, " Data Mining and Knowledge Discovery, vol. 10, no. 1, pp. 39-79, 2005. (Pubitemid 40357001)
-
(2005)
Data Mining and Knowledge Discovery
, vol.10
, Issue.1
, pp. 39-79
-
-
Webb, G.I.1
Zhang, S.2
-
6
-
-
77951759412
-
-
Pine Forge Press
-
J. F. Healey, E. R. Babbie, and J. Boli, Exploring Social Issues: Using SPSS for Windows 95, Versions 7.5, 8.0, or Higher. Pine Forge Press, 1999.
-
(1999)
Exploring Social Issues: Using SPSS for Windows 95, Versions 7.5, 8.0, Or Higher
-
-
Healey, J.F.1
Babbie, E.R.2
Boli, J.3
-
7
-
-
0001267179
-
Mining association rules with multiple minimum supports
-
B. Liu, W. Hsu, and Y. Ma, "Mining Association Rules with Multiple Minimum Supports, " Proc. ACM SIGKDD, pp. 337-341, 1999.
-
(1999)
Proc. ACM SIGKDD
, pp. 337-341
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
9
-
-
85001698824
-
Finding non-coincidental sporadic rules using apriori-inverse
-
Y. S. Koh, N. Rountree, and R. A. O'Keefe, "Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse, " Int'l J. Data Warehousing and Mining, vol. 2, pp. 38-54, 2006.
-
(2006)
Int'l J. Data Warehousing and Mining
, vol.2
, pp. 38-54
-
-
Koh, Y.S.1
Rountree, N.2
O'Keefe, R.A.3
-
11
-
-
33747762924
-
Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism
-
DOI 10.1016/j.dss.2004.09.007, PII S0167923604002052
-
Y.-H. Hu and Y.-L. Chen, "Mining Association Rules with Multiple Minimum Supports: A New Mining Algorithm and a Support Tuning Mechanism, " Decision Support Systems, vol. 42, pp. 1-24, 2006. (Pubitemid 44278264)
-
(2006)
Decision Support Systems
, vol.42
, Issue.1
, pp. 1-24
-
-
Hu, Y.-H.1
Chen, Y.-L.2
-
12
-
-
84945299663
-
A confidence-lift support specification for interesting associations mining
-
W.-Y. Lin, M.-C. Tseng, and J.-H. Su, "A Confidence-Lift Support Specification for Interesting Associations Mining, " Proc. Sixth Pacific-Asia Conf. Advances in Knowledge Discovery and Data Mining (PAKDD), pp. 148-158, 2002.
-
(2002)
Proc. Sixth Pacific-Asia Conf. Advances in Knowledge Discovery and Data Mining (PAKDD)
, pp. 148-158
-
-
Lin, W.-Y.1
Tseng, M.-C.2
Su, J.-H.3
-
13
-
-
0038148379
-
Mining association rules on significant rare data using relative support
-
H. Yun, D. Ha, B. Hwang, and K. H. Ryu, "Mining Association Rules on Significant Rare Data Using Relative Support, " J. Systems Software, vol. 67, pp. 181-191, 2003.
-
(2003)
J. Systems Software
, vol.67
, pp. 181-191
-
-
Yun, H.1
Ha, D.2
Hwang, B.3
Ryu, K.H.4
-
14
-
-
0031161999
-
Beyond market baskets: Generalizing association rules to correlations
-
S. Brin, R. Motwani, and C. Silverstein, "Beyond Market Baskets: Generalizing Association Rules to Correlations, " Proc. 1997 ACM SIGMOD, pp. 265-276, 1997. (Pubitemid 127456791)
-
(1997)
SIGMOD Record (ACM Special Interest Group on Management of Data)
, vol.26
, Issue.2
, pp. 265-276
-
-
Brin, S.1
Motwani, R.2
Silverstein, C.3
-
17
-
-
0031162961
-
Dynamic itemset counting and implication rules for market basket data
-
S. Brin, R. Motwani, J. D. Ullman, and S. Tsur, "Dynamic Itemset Counting and Implication Rules for Market Basket Data, " SIGMOD Record, vol. 26, pp. 255-264, 1997. (Pubitemid 127456790)
-
(1997)
SIGMOD Record (ACM Special Interest Group on Management of Data)
, vol.26
, Issue.2
, pp. 255-264
-
-
Brin, S.1
Motwani, R.2
Ullman, J.D.3
Tsur, S.4
-
18
-
-
84943241561
-
Finding Association Rules That Trade Support Optimally against Confidence
-
Principles of Data Mining and Knowledge Discovery
-
T. Scheffer, "Finding Association Rules That Trade Support Optimally against Confidence, " Intelligent Data Analysis, vol. 9, pp. 381-395, 2005. (Pubitemid 33331880)
-
(2001)
LECTURE NOTES IN COMPUTER SCIENCE
, Issue.2168
, pp. 424-435
-
-
Scheffer, T.1
-
20
-
-
3843055627
-
Efficient mining of both positive and negative association rules
-
X. Wu, C. Zhang, and S. Zhang, "Efficient Mining of Both Positive and Negative Association Rules, " ACM Trans. Information Systems, vol. 22, pp. 381-405, 2004.
-
(2004)
ACM Trans. Information Systems
, vol.22
, pp. 381-405
-
-
Wu, X.1
Zhang, C.2
Zhang, S.3
-
22
-
-
33746260819
-
Assessing rule interestingness with a probabilistic measure of deviation from equilibrium
-
J. Blanchard, F. Guillet, H. Briand, and R. Gras, "Assessing Rule Interestingness with a Probabilistic Measure of Deviation from Equilibrium, " Proc. 11th Int'l Symp. Applied Stochastic Models and Data Analysis (ASMDA '05), pp. 191-200, 2005.
-
(2005)
Proc. 11th Int'l Symp. Applied Stochastic Models and Data Analysis (ASMDA '05)
, pp. 191-200
-
-
Blanchard, J.1
Guillet, F.2
Briand, H.3
Gras, R.4
-
24
-
-
0002877253
-
Discovery, analysis, and presentation of strong rules
-
AAAI/MIT Press
-
G. Piatetsky-Shapiro, "Discovery, Analysis, and Presentation of Strong Rules, " Knowledge Discovery in Databases, pp. 229-248, AAAI/MIT Press, 1991.
-
(1991)
Knowledge Discovery in Databases
, pp. 229-248
-
-
Piatetsky-Shapiro, G.1
-
26
-
-
77951762583
-
-
Encyclopedia Britannica
-
Encyclopedia Britannica, "Analytic Proposition, " http://www.britannica.com/eb/article-9007348, 2007.
-
(2007)
Analytic Proposition
-
-
-
28
-
-
77951726100
-
-
Open University Mathematics Foundation Course Team, The Open Univ. Press
-
Open University (Mathematics Foundation Course Team), Logic II: Proof, vol. 17. The Open Univ. Press, 1971.
-
(1971)
Logic II: Proof
, vol.17
-
-
-
29
-
-
0004225575
-
-
second ed. Harper and Row Publishers
-
W. V. O. Quine, Mathematical Logic, second ed. Harper and Row Publishers, 1951.
-
(1951)
Mathematical Logic
-
-
Quine, W.V.O.1
-
30
-
-
77951730816
-
-
Encyclopedia Britannica
-
Encyclopedia Britannica, "Condition, " http://www.britannica. com/eb/article-9025123, 2007.
-
(2007)
Condition
-
-
-
31
-
-
77951724767
-
-
Orange, AI Lab
-
R. Forsyth, "Zoo Data Set, " Orange, AI Lab, http://magix.fri.uni-lj. si/orange/doc/datasets/zoo.htm, 1990.
-
(1990)
Zoo Data Set
-
-
Forsyth, R.1
-
34
-
-
77951741537
-
Horizontal versus vertical partitioning in association rule mining: A comparison
-
A. Das, D. K. Bhattacharyya, and J. K. Kalita, "Horizontal versus Vertical Partitioning in Association Rule Mining: A Comparison, " Proc. Sixth Int'l Conf. Computational Intelligence and Natural Computation (CINC), pp. 1617-1620, 2003.
-
(2003)
Proc. Sixth Int'l Conf. Computational Intelligence and Natural Computation (CINC)
, pp. 1617-1620
-
-
Das, A.1
Bhattacharyya, D.K.2
Kalita, J.K.3
-
35
-
-
21144433900
-
Design and evaluation of distributed smart disk architecture for I/O-intensive workloads
-
Computational Science - ICCS 2003
-
S. Chiu, W.-k. Liao, and A. Choudhary, "Design and Evaluation of Distributed Smart Disk Architecture for IO-Intensive Workloads, " Proc. Int'l Conf. Computational Science (ICCS '03), pp. 230-241, 2003. (Pubitemid 36769401)
-
(2003)
LECTURE NOTES IN COMPUTER SCIENCE
, Issue.2660
, pp. 230-241
-
-
Chiu, S.1
Liao, W.-k.2
Choudhary, A.3
-
36
-
-
0346299592
-
-
IBM
-
IBM, "Quest Synthetic Data Generation Code, " http://www.almaden. ibm.com/cs/projects/iis/hdb/Projects/data-mining/datasets/ syndata.html, 2010.
-
(2010)
Quest Synthetic Data Generation Code
-
-
|