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Comparative Evaluation of Rule Induction Algorithms in Data Mining


Author : Pooja Shrivastava

Pages : 544-546
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Abstract

 

Data Mining is a process of extracting useful information from very huge and comprehensive set of data. With the increased possibilities in modern civilization for companies and institutions to gather data inexpensively and efficiently, this subject matter has turn out to be of increasing significance. This interest has stimulated a quickly growing research field with developments both on a hypothetical, as well as on a realistic level with the availability of a range of business-related tools. In this paper we present a comparative result of rule induction algorithms applied on data set of life insurance of persons. This work uses rule induction algorithm in data mining to obtain the precise results with quick processing time. In this paper we are using decision list induction algorithm to make order and unordered list of system to coverage of most data from the data set.

Keywords: Rule Induction algorithms, data mining, J-Measure, divides and conquers, Shannon Entropy

 

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.2 (June- 2013)

 

 

 

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