A Study of Software Reliability Classification Using Genetic Algorithm
Exploring the Applications of Data Mining and Classification for Software Reliability
Keywords:
software reliability classification, genetic algorithm, data mining, classification, characteristics, class names, potential applications, customer classes, student performance, fraudulent transactionsAbstract
As communicated previously, data mining is the path toward perceiving novel, possibly interesting and in the long run sensible precedents from significant volumes of data Piatetsky-Shapiro. Request is a basic thought in data mining. The gathering issue in data mining can be communicated as seeks after given a couple of characteristics for data things and their related class names, envision the class stamp quality for data things for which it is dark. The potential employments of collection can be enormous. For example, portrayal may be used to discover the classes of customers who are most likely going to buy a thing and customers who won't. In like way, course of action can be used to arrange understudies as performers and under-performers with the objective that extended thought may be given to the understudies inclined to neglect to meet desires. Request can in like manner be used to uncover plans inclined to be found in phony trades.Published
2018-04-01
How to Cite
[1]
“A Study of Software Reliability Classification Using Genetic Algorithm: Exploring the Applications of Data Mining and Classification for Software Reliability”, JASRAE, vol. 15, no. 1, pp. 490–495, Apr. 2018, Accessed: Jun. 03, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7657
Issue
Section
Articles
How to Cite
[1]
“A Study of Software Reliability Classification Using Genetic Algorithm: Exploring the Applications of Data Mining and Classification for Software Reliability”, JASRAE, vol. 15, no. 1, pp. 490–495, Apr. 2018, Accessed: Jun. 03, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7657