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A Study of DATA Mining Algorithms

Satya Sree, Hema priya

Abstract


The time needed for generating frequent patterns plays a vital role. Some algorithms are designed, considering solely the time issue. Our study includes depth analysis of algorithms and discusses some problems of generating frequent pattern from the varied algorithms. We have explored the unifying feature among the inner operating of assorted mining algorithms. The work yields a close analysis of the algorithms to elucidate the performance with normal dataset like Mushroom etc. The comparative study of algorithms includes aspects like; totally different support values and size of transactions.

 

Cite this Article
Satya Sree, Hema Priya. A Study of DATA Mining Algorithms. Journal of Advanced Database Management & Systems. 2015; 2(1): 22–26p.


Keywords


Itemset, H-struct, FP-growth

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References


Han J., Pei H., Yin. Y., Mining Frequent Patterns without Candidate Generation, In Proc. Conf. on the Management of Data. Dallas, TX, 2000.

Raorane A.A., Kulkarni R.V., Jitkar B.D., Association Rule – Extracting Knowledge Using Market Basket Analysis, Res. J. Recent Sci. 2012; 1(2): 19–27p.

Pei. J., Han. J., Lu. H., et al. H-mine: Hyper-structure Mining of Frequent Patterns in Large Databases, In Proc. Intl Conf. Data Mining. 2001.

Agrawal R., Imielienski T., Swami A., Mining Association Rules between Sets of Items in Large Databases, Proc. Conf. on Management of Data, Washington, DC, 1993, 207–216p.

Pramod S., Vyas O.P., Survey on Frequent Item set Mining Algorithms, In Proc. Int J Comp Appl. 2010; (0975–8887), 1(15): 86–91p.

Borgelt C., Keeping Things Simple: Finding Frequent Item Sets by Recursive Elimination, Proc. Workshop Open Software for Data Mining (OSDM’05 at KDD’05, Chicago, IL), 2005, 66–70p.

Agrawal R., Srikant. R, Fast Algorithms for Mining Association Rules, In Proc. Int’l Conf. Very Large Data Bases (VLDB), Santiago, Chile, 1994, 487–499p.

Borgelt C., SaM., Simple Algorithms for Frequent Item Set Mining, IFSA/EUSFLAT 2009 conference, 2009.

Shrivastava Neeraj, Lodhi Singh Swati, Overview of Non-redundant Association Rule Mining, Res. J. Recent Sci. 2012; 1(2): 108–112p.


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