A Study of Consciousness in Traditional Learning Explore With Classification Strategy
D. Magdalene, Delighta Angeline, R. Parvathi, I. A. Samuel, Peter James · 2014
Abstract: Data Mining is a tool that helps in understanding the patterns extracted with the set of rules. Mining the knowledge from the database and provides a better solution for a specific problem yields good outcome to the developers. The discovery of knowledge is essential in all sorts of application that uses data mining techniques. Data mining technique is used in various domains in order to give meaning for the available data. People are often prone to make mistakes during analyses or, possibly, when trying to establish relationships between multiple features which make it difficult for them to find solutions to certain problems. Machine learning can often be successfully applied to these problems, improving the efficiency of systems and the designs of machines. In the context of machine learning, classification is supervised learning and is capable of processing a wider variety of data and is growing in popularity. Classification techniques are being used in different industry to easily identify the type and group to which a particular tuple belongs. In this paper, different classification techniques are summarized in order to improve the learner’s objective.