International Journal of Computer
Trends and Technology

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Volume 4 | Issue 9 | Year 2013 | Article Id. IJCTT-V4I9P144 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I9P144

Usage of Apriori Algorithm of Data Mining as an Application to Grievous Crimes against Women

Divya Bansal, Lekha Bhambhu

Citation :

Divya Bansal, Lekha Bhambhu, "Usage of Apriori Algorithm of Data Mining as an Application to Grievous Crimes against Women," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 9, pp. 3194-3199, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I9P144

Abstract

Quantitative data must be converted into qualitative data, for this association algorithm only can apply to it. As association rule deals with frequent item sets as done by many association algorithms such as: Apriori algorithm, that’s why in most real life applications Apriori algorithm is used. In this paper author contains the use of association rule mining in extracting patterns that occur frequently within a dataset and showcases the implementation of the Apriori algorithm in mining association rules from a dataset which is manual collection of demeaning crimes against women which is collected from Session court. In this paper author considers the two Association Rule algorithms i.e. Apriori Algorithm and PredictiveApriori Algorithm and compares the result of both the algorithms using WEKA, a data mining tool.As result of rules of both algorithms clearly shows that Apriori algorithm performs better and faster than PredictiveApriori algorithm.

Keywords

Data Mining, Association Rule, Apriori Algorithm, Command line interface.

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