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Market Based Analysis of Single Dimensional Data


Affiliations
1 Department of Information Technology, Bharathiyar College of Engineering and Technology, Karaikal-609609, India
2 Department of Computer Science and Engineering, Bharathiyar College of Engineering and Technology, Karaikal-609609, India
     

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Data mining software is software that allows you to analyze large volumes of raw data from business systems, applications, databases, web sites, and text based mediums that improve your business processes and increase your business performance. The manual calculation of support for item-sets and calculation of confidence level for association rules extracted were very difficult to do and it takes lot of time. Also they are prone to many errors. The automated Data Mining system implemented in computer will very easily do the difficult job of identifying the combination of items and it gives the support level of item-sets and confidence level of association rules extracted in terms of seconds. Market Basket analysis is possibly the largest application for algorithms that discover Association Rules. In this paper, we discuss about the dataset and its process is done through single dimensional array. Experimental result carries out the performance of the new algorithmic approach.

Keywords

Data Mining, Association Rules, Apriori Algorithm, Single Dimensional Array.
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  • Market Based Analysis of Single Dimensional Data

Abstract Views: 218  |  PDF Views: 3

Authors

V. K. Nagappan
Department of Information Technology, Bharathiyar College of Engineering and Technology, Karaikal-609609, India
M. Selvam Amalraj
Department of Computer Science and Engineering, Bharathiyar College of Engineering and Technology, Karaikal-609609, India
N. Venkatesan
Department of Computer Science and Engineering, Bharathiyar College of Engineering and Technology, Karaikal-609609, India

Abstract


Data mining software is software that allows you to analyze large volumes of raw data from business systems, applications, databases, web sites, and text based mediums that improve your business processes and increase your business performance. The manual calculation of support for item-sets and calculation of confidence level for association rules extracted were very difficult to do and it takes lot of time. Also they are prone to many errors. The automated Data Mining system implemented in computer will very easily do the difficult job of identifying the combination of items and it gives the support level of item-sets and confidence level of association rules extracted in terms of seconds. Market Basket analysis is possibly the largest application for algorithms that discover Association Rules. In this paper, we discuss about the dataset and its process is done through single dimensional array. Experimental result carries out the performance of the new algorithmic approach.

Keywords


Data Mining, Association Rules, Apriori Algorithm, Single Dimensional Array.