Rank Analysis Through Polyanalyst using Linear Regression

Data Mining is defined as the process of discovering significant and potentially useful patterns in large volumes of data (2) . It is the exploration and analysis, by automatic or semi-automatic means, of large quantities of data in order to discover Knowledge Discovery in Databases (KDD). The study reported in this paper is concerned primarily with thematic information related to admission criteria of an Institution. It aims at discerning trends in admission with reference to ranks into an institution. Here the database has been mined using the PolyAnalyst software package. The predicted and real vs. counter graph illustrates how closely the PolyAnalyst prediction follows the actual value of the attribute over the range of the dataset. The application of data mining techniques helps the decision maker to meet the goal. The specific application of PolyAnalyst gave a clear scope for evaluation and comparison of predicted and real values.