References
-
1
Agrawal R Imielinksi T Swami A “Mining association rules between sets of items in large database” The ACM SIGMOD Conference 1993 10.1145/170035.170072
-
2
Almasi G S Gottlieb A
“Highly Parallel Computing” 1989 Redwood City, CA The Benjamins Publishing Company -
3
Blake C L Merz C J
“UCI Repository of Machine Learning Databases” 1998 CA, USA Dept. of Information and Computer Science, University of California at Irvine -
4
Girotra M “Comparative Survey on Association Rule Mining Algorithms” International Journal of Computer Applications 2013 10.5120/14612-2862
-
5
Gosain A Bhugra M “A Comprehensive Survey of Association Rules on Quantitative Data In Data Mining” IEEE Conference on Information and Communication Technologies (ICT) 2013 10.1109/cict.2013.6558244
-
6
Gupta D G “A Taxonomy of Classical Frequent Item set Mining Algorithms” International Journal of Computer and Electrical Engineering 2011 3rd ed.
-
7
Han J Pei H Yin Y “Mining Frequent Patterns without Candidate Generation” Conf. on the Management of Data (SIGMOD’00, Dallas, TX) 2000 New York, NY, USA
ACM Press 10.1145/342009.335372 -
8
Han J Pei J Yin Y Mao R “Mining frequent patterns without candidate generation: A frequent pattern tree approach” Data Mining and Knowledge Discovery 2003
-
9
Hidber C “Online association rule mining” Proc. of ACM SIGMOD Intl. Conf. on Management of Data 1999
-
10
Kumbhare “An Overview of Association Rule Mining Algorithms” International Journal of Computer Science and Information Technologies (IJCSIT) 2014 5
-
11
Li Z Zhang R “The Association Rule Mining on a Survey Data for Culture Industry International” Conference on Systems and Informatics (ICSAI) 2012
-
12
Manimaran J
1 Velmurugan T “A Survey of Association Rule Mining in Text applications” IEEE International Conference on Computational Intelligence and Computing Research 2013 -
13
Pramod S Vyas O P “Survey on Frequent Item set Mining Algorithms” International Journal of Computer Applications 2015 1
-
14
Pudi V Haritsa J
“On the optimality of association-rule mining algorithms” Technical Report TR-2001-01 2001 DSL, Indian Institute of Science -
15
Rajak A Gupta M K “Association Rule Mining: Applications in Various Areas” International Conference on Data Management 2012
-
16
Sivanandam S N Sumathi S Hamsapriya T Babu K “A Hybrid Parallel Frequent Item set mining algorithm for very large databases” Academic open internet journal 2004
-
17
Tiwari A Gupta R K Agrawal D P “Cluster Based Partition Approach for Mining Frequent Itemsets” International Journal of Computer Science and Network Security IJCSNS 2009 9th ed.
-
18
Zhao Q Bhowmick S S
“Association Rule Mining: A Survey Technical Report” 2003 Singapore CAIS, Nanyang Technological University -
19
Zhong Y Liao Y “Research of Mining effective and Weighted Association Rules Based on Dual Confidence” CPS Fourth International Conference on Computational and Information Science 2010