The week's pick
Random Articles
Reseach Article
A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 37 - Number 6 |
| Year of Publication: 2012 |
| Authors: B.Jayanthi, Dr.K.Duraiswamy |
10.5120/4614-6609
|
B.Jayanthi, Dr.K.Duraiswamy . A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets. International Journal of Computer Applications. 37, 6 ( January 2012), 30-35. DOI=10.5120/4614-6609
Abstract
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically restricted to a single concept level. We extend our research to discover cross - level frequent patterns in multi-level environments. Unfortunately, little research has been paid to this research area. Mining cross - level frequent pattern may lead to the discovery of mining patterns at different levels of hierarchy. In this study a transaction reduction technique with FP-tree based bottom up approach is used for mining cross-level pattern. This method is using the concept of reduced support
References
- Agrawal R,Imienlinski T,Swami A,(1993).Mining association rules between sets of items in large databases. In Proc. Of the ACM SIGMOD Int. Conf. on Management of Data, Pages 207-216.
- Agrawal R, and Srikant R, (1994). Fast algorithms for mining association rules. In Proc. Of the 20th Int. Conf. on very Large Databases. Pages 487-499.
- Han .J ,Pei .J, and Yin .Y,(2000) Mining Frequent patterns without candidate generation. In Proc. Of ACM-SIGMOD Int. Conf. on Management of Data, pages 1-12.
- Han, J., Fu, Y., Mining Multiple-Level Association Rules in Large Databases, in IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 5, September/October 1999.
- T.Eavis and XI Zheng, Multi-Level Frequent Pattern Mining, in Springer-Verlag Berlin Heidelberg 2009, pp. 369 – 383.
- Dr.K.Duraiswamy and B.Jayanthi, a Novel preprocessing Algorithm for Frequent Pattern Mining in Mutidatasets, International Journal of Data Engineering,Vol. 2, No. 3, Aug 2011.
- Han, J., Fu, Y., Discovery of Multiple-Level Association Rules from Large Databases, in Proceedings of the 21st Very Large Data Bases Conference, Morgan Kaufmann, P. 420-431, 1995.
- Yinbo WAN, Yong LIANG, Liya DING, “Mining Multilevel Association Rules from Primitive Frequent Itemsets”, Journal of Macau University of Science and Technology, Vol.3 No.1, 2009
- Thakur, R. S., Jain, R. C., Pardasani, K. R., Mining Level-Crossing Association Rules from Large Databases, in the Journal of Computer Science 2(1), P. 76-81, 2006.
- R.E.Thevar, R.Krishnamoorthy, A New Approach of Modified Transaction Reduction Algorithm For mining Frequent Itemset, proceedings of IEEE Workshop on Data mining and Artificial Intelligence, 2008.
- Rajkumar.N, Karthik.M.R, Sivanada.S.N, “Fast Algorithm for mining multilevel Association Rules,”IEEE Trans. Knowledge and Data Engg., Vol.2 pp. 688-692, 2003.
- Pratima Gautham, Pardasani, K. R., “Algorithm for Efficient Multilevel Association Rule Mining”, International Journal of Computer Science and Engineering, Vol.2 pp. 1700-1704, 2010
Index Terms
Keywords