ABSTRACT

Knowledge discovery is an emerging field which combines the techniques from mathematics, statistics, algorithms and Artificial Intelligence to extract the knowledge. Data mining is a main phase of Knowledge Discovery in Databases (KDD) for extracting the knowledge based on the patterns and their correlation by the application of appropriate association rules to the informations available from the data set. The outcome of the KDD is used to analyse or predict on the future aspects in any area of considerations. In this paper we propose an analysis and prediction of students placements based on the historical informations from the database by considering the students information at different confident levels and support counts to generate the association rules. The widely used algorithm in data mining ie, apriori algorithm is specifically considered for the extraction of the knowledge.