Role of Association Rule Mining in String and Numerical Data
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2013 by IJCOT Journal|
|Year of Publication : 2013|
|Authors : Bhavani K, Hemalatha R|
Bhavani K, Hemalatha R. "Role of Association Rule Mining in String and Numerical Data". International Journal of Computer & organization Trends (IJCOT), V3(2):20-22 Mar - Apr 2013, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
This Data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Association ru le mining discovers correlations between different item sets in a transaction database. The proposed methodology is implemented in Apriori algorithm. The given string data is applied with apriori algorithm and the memory efficiency is calculated to get t he output measures. The same string data are assigned with numerical values and the apriori algorithm is applied on the numerical data. Based on the numerical values to get the measures. Comparisons are made based on the Execution time and memory efficienc y in finding frequent patterns. The performance is analysed based on the different no of instances and confidence in mushroom data set.
 Role of Association Rule Mining in Numerical Data Analysis Sudhir Jagtap, Kodge B. G., Shinde G. N., Devshette P. M
 M.Anandavalli, M.K.Ghose ,K.Gauthaman,”Association Rule Mining in Geonomics”,International journal of Computer Theory and Engineering Vol.2 ,No.2 April 2010.
 Piatetsky - Shapiro, G. (1991), Discovery, analysis, and presentation of strong rules, in G. Piatetsky - Shapiro & W. J. Frawley, eds, ‘Knowledge Discovery in Databases’, AAAI/MIT Press, Cambridge, MA.
 Role of association rule mining in numerical data analysis, sudhir Sudhir Jagtap, Kodge B. G., Shinde G. N., Devshette P. M
 Bayardo, Roberto J., Jr.; Agrawal, Rakesh; Gunopulos, Dimitrios (2000). "Constraint - based rule mining in large, dense databases". Data Min ing and Knowledge Discovery (2): 217 – 240. doi : 10.1023/A:1009895914772 .
 Webb, Geoffrey I. (2000); Efficient Search for Associati on Rules, in Ramakrishnan, Raghu; and Stolfo, Sal; eds.; Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD - 2000), Boston, MA , New York .
 http://www.cogsys.wiai.unibamberg.de/teaching/ss05/ml/slides/cogsysI I - 6.pdf
 http://www.slideshare.net/totoyou/covering - rulesbased - algorithm
 M.Anandavalli , M.K .Ghose , K.Gouthaman ,”Association Rule Mining in Genomics”,International journal of computer Theory and engineering ,Vol.2,No.2 April,2010.
 Arun.K.Pujari”data mining techniques “,Universities Press (india) private limited.2001.
 F.Braz,”A review of the ass ociation rules data mining techniques for the analysis of gene expressions”
 Douglas Trewartha, ”Investigating data mining in MATLAB “,Rhodes University 2006.
Association Rule mining, Apriori algorithm, Numerical data analysis .