Application of Data Mining in Educational Database for Predicting Behavioural Patterns of the Students

Data mining refers to the technique of obtaining hidden, previously unknown and possibly significant knowledge from humongous amount of data. Data mining uses a combination of a vast knowledge base, advanced analytical skills, and domain knowledge to unveil hidden trends and patterns which can be applied in almost any sector ranging from business to medicine, then to Engineering. Nonetheless educational institutes can employ data mining to discover valuable information from their databases known as Educational Data Mining (EDM). Educational data mining requires transformation of existing or innovation of new approaches derived from statistics, machine learning, psychometrics, scientific computing etc. Current system is designed to justify that various data mining techniques which includes classification, can be used in educational databases to suggest career options for the high school students and also to predict the potentially violent behaviour among the students by including extra parameters other than academic details. RapidMiner has been used as Data mining tool.