UTILIZING GENETIC ALGORITHMS FOR DATA MINING IMPROVEMENT IN AN EDUCATIONAL WEB-BASED SYSTEM

This paper shows a methodology for arranging understudies with the end goal to anticipate their last grade dependent on highlights separated from logged information in an instruction online framework. A mix of different classifiers prompts a noteworthy enhancement in characterization execution. Through weighting the component vectors utilizing a Genetic Algorithm we can advance the forecast precision and get a stamped enhancement over crude arrangement. It further demonstrates that when the quantity of highlights is few; include weighting is works superior to simply highlight choice