Role of Association Rule Mining in String and Numerical Data

Role of Association Rule Mining in String and Numerical Data

  IJCOT-book-cover
 		 International Journal of Computer & Organization Trends (IJCOT)          
 
© 2013 by IJCOT Journal
Volume-3 Issue-2                          
Year of Publication : 2013
Authors :   Bhavani K, Hemalatha R

Citation

  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.

Abstract

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.

References

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Keywords

Association Rule mining, Apriori algorithm, Numerical data analysis .