Journals Proceedings

Abstract

Data Mining is one of the eminent research fields to find interesting trends or patterns in large datasets. In order to work with the numeric or categorical data, the classification technique suits well for analyzing and processing for wider variety of large databases. Efficiency and scalability arefundamental issues concerning data mining in large databases. This paper describes the stability and quality of quantifiable elements among the given datasets and presented the representations of AVL trees for stability and Decision trees for quality. Further, the approach was extended and implemented for the employability of the students as large data sets for an educational institute.