Data mining is the analysis step of the knowledge discovery in datasets. In which association rule mining technique is the most popular and easiest way to find term sets from large datasets. Our aim is to discover frequent term sets for web document data by applying Genetic Algorithm. GA is an advancement system that tells about the proficient use of parameters for determining the issue with the base number of endeavors. It utilizes three operations namely Initial population or reproduction, crossing over and mutation. This paper tells about briefly the suitability of genetic algorithm for web document data. Finally, performance studies are conducted to show that, regarding execution efficiency and scalability, the proposed procedures produced excellent performance results. © 2016, International Journal Of Pharmacy and Technology.