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Deriving Association Between Intelligent Quotient and Debugging Skills


Affiliations
1 Department of Computer Science, St. Joseph's College, Tiruchirappalli-620002, India
     

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Intelligence is defined as an innate ability of an individual to acquire new knowledge. It can be measured by Intelligent Quotient (IQ). In the educational filed, IQ tests are extensively used as indicative measures to find the academic strength of an individual. Debugging is a process of finding the bugs (error) and reducing them in the computer programming. The Program comprehension and debugging skill are useful to predict the student's performance in the programming subjects. The process of extracting valuable knowledge from the raw data is called data mining. In the field of data mining, Association Rule Mining is one of the most popular approaches for discovering the relationship between the items in a dataset. The research work is carried out to derive the relationship between the Intelligent Quotient and Debugging Skills from a student's dataset using Association rule mining technique.

Keywords

Intelligent Quotient, Association Rule Mining, Apriori Algorithm, Support, Confidence.
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  • Deriving Association Between Intelligent Quotient and Debugging Skills

Abstract Views: 246  |  PDF Views: 4

Authors

L. Arockiam
Department of Computer Science, St. Joseph's College, Tiruchirappalli-620002, India
V. Arul Kumar
Department of Computer Science, St. Joseph's College, Tiruchirappalli-620002, India
S. Charles
Department of Computer Science, St. Joseph's College, Tiruchirappalli-620002, India

Abstract


Intelligence is defined as an innate ability of an individual to acquire new knowledge. It can be measured by Intelligent Quotient (IQ). In the educational filed, IQ tests are extensively used as indicative measures to find the academic strength of an individual. Debugging is a process of finding the bugs (error) and reducing them in the computer programming. The Program comprehension and debugging skill are useful to predict the student's performance in the programming subjects. The process of extracting valuable knowledge from the raw data is called data mining. In the field of data mining, Association Rule Mining is one of the most popular approaches for discovering the relationship between the items in a dataset. The research work is carried out to derive the relationship between the Intelligent Quotient and Debugging Skills from a student's dataset using Association rule mining technique.

Keywords


Intelligent Quotient, Association Rule Mining, Apriori Algorithm, Support, Confidence.