|
62
|
Parallel data mining for association rules on shared-memory multiprocessors
– S. Parthasarathy, M. J. Zaki, M. Ogihara, W. Li
- 1996
|
|
3
|
On the Optimality of Association-rule Mining Algorithms
– Vikram Pudi, Jayant R. Haritsa
- 2001
|
|
11
|
Mining Large Itemsets for Association Rules
– Charu C. Aggarwal, Philip S. Yu
- 1998
|
|
4
|
A Tight Upper Bound on the Number of Candidate Patterns
– Floris Geerts, Bart Goethals, Jan Van Den Bussche, Limburgs Universitair Centrum, Contact Bart Goethals
- 2001
|
|
|
Discovery of Hidden Relationship in a Large Data Itemsets through Apriori Algorithm of Association Analysis with UML Narander Kumar Department of Computer Science,
– Vishal Verma, Vipin Saxena
|
|
|
Fast Algorithms for Discovering the Maximum Frequent Set
– Dao-I Lin, Zvi M. Kedem, To My Daughter, Shang Lin
- 1998
|
|
11
|
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
– Dao-I Lin, Zvi M. Kedem
- 1999
|
|
1
|
Adaptive-FP: An Efficient And Effective Method For Multi-Level Multi-Dimensional Frequent Pattern Mining
– Runying Mao
- 2001
|
|
11
|
Mining Association Rules From Market Basket Data Using Share Measures And Characterized Itemsets
– Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Colin L. Carter, Nick Cercone, Nick Cercone
- 1998
|
|
|
An Efficient Algorithm for Mining Maximal Frequent Item Sets
– A. M. J. Md. Zubair Rahman, P. Balasubramanie
- 2008
|
|
4
|
Efficient parallel algorithms for mining associations
– Mahesh V. Joshi, Eui-hong (sam Han, George Karypis, Vipin Kumar
- 2000
|
|
1
|
Mining frequent patterns by differential refinement of clustered bitmaps
– Jianwei Li, Alok Choudhary, Nan Jiang, Wei-keng Liao
- 2006
|
|
138
|
Scalable Algorithms for Association Mining
– Mohammed J. Zaki
- 2000
|
|
|
Finding Interesting Rules From Large Data Sets
– Yuelong Jiang, Yuelong Jiang
|
|
17
|
A High-Performance Distributed Algorithm for Mining Association Rules
– Assaf Schuster , Ran Wolff , Dan Trock
- 2003
|
|
|
Hierarchical Parallel Algorithms for Association Mining
– Mohammed J. Zaki
|
|
41
|
Parallel Algorithms for Discovery of Association Rules
– Mohammed J. Zaki, SRINIVASAN PARTHASARATHY, MITSUNORI OGIHARA, Wei Li
- 1997
|
|
3
|
Looking into the Seeds of Time: Discovering Temporal Patterns In Large Transaction Sets
– Yingjiu Li, Sencun Zhu, X. Sean Wang, Sushil Jajodia
- 2002
|
|
265
|
Discovering Frequent Closed Itemsets for Association Rules
– Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
- 1999
|