International Journal of Computational Intelligence Research

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Genetic Association Mining in Web Personalization for the Non Functional Requirement


Affiliations
1 Department of Computer science & Software, Madurai Sivakasi nadar’s pioneer meenakshi women’s College, Poovanthi, Sivagangai Dist., Tamilnadu,, India
2 Dept. of computer center, Madurai Kamaraj University, Madurai, Tamilnadu, India
     

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Web services play an important role in the enhancement of the business in the modern world. The impact of non-functional requirements on web engineering principles and practices may dictate the need of creation of novel techniques and tools and the enhancement of existing tools and techniques. In this paper we have device the method to improve the performance by the web personalization process. The web personalization is done by the usage mining. Association of the transactions paves the way for the personalization and in turn the performance improvement. Here the Apriori algorithm is chosen for the deployment, the rules generated are optimized by the genetic algorithms and discussion for the choice is also made based various metrics.

Keywords

NFR, Web Personalization, Web Usage Mining
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  • Genetic Association Mining in Web Personalization for the Non Functional Requirement

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Authors

R. Jayakarthik
Department of Computer science & Software, Madurai Sivakasi nadar’s pioneer meenakshi women’s College, Poovanthi, Sivagangai Dist., Tamilnadu,, India
K. Alagarsamy
Dept. of computer center, Madurai Kamaraj University, Madurai, Tamilnadu, India

Abstract


Web services play an important role in the enhancement of the business in the modern world. The impact of non-functional requirements on web engineering principles and practices may dictate the need of creation of novel techniques and tools and the enhancement of existing tools and techniques. In this paper we have device the method to improve the performance by the web personalization process. The web personalization is done by the usage mining. Association of the transactions paves the way for the personalization and in turn the performance improvement. Here the Apriori algorithm is chosen for the deployment, the rules generated are optimized by the genetic algorithms and discussion for the choice is also made based various metrics.

Keywords


NFR, Web Personalization, Web Usage Mining

References