Dynamic System to Discover a PatternAuthor : S.Thabasu Kannan and J.Malarvizhi
Volume 3 No.2 July-December 2014 pp 34-37
It is indeed an art to match maximum number of preferences by utilizing limited number of resources. During the current academic year 75% of the admissions to Engineering Colleges have gone down, as only 30% to 40% of intake has been filled. Without reaching the breakeven point, the management of the institution becomes a complicated issue. In this situation providing quality education to the students is the question mark. The main aim of this paper is to discover a pattern to identify the choice of preferences of the candidates to seek admissions in any academic institutions. The candidate finds admission in an institution only when his/her own preference matches exactly, otherwise the candidate continues to go by the next alternate in the list of preference. If the institution analyzes the preferences of the candidates and tries to satisfy them, surely the institution can reach even above their intake. Generally satisfaction of individual candidate is practically not possible. Hence the institution should try to satisfy maximum number of candidates by utilizing our existing infrastructure and viable number of preferences. Here the viability is the main constraint. For the purpose of matching optimum number of candidates to suit our existing system, we have designed our algorithmic approach. Here our new system is used to extract frequent item sets from various preferences. By thresholds, it can fix the preferences either decrease or increase the level of frequent. The new algorithm is based on association rule classification which is one of data mining techniques. Data mining is the process of extracting knowledge hidden from large volumes of raw data.