Paper Title :Improving Classification Efficiency Of Large Data Sets Using New Supervised Learning Algorithm

Author :Radha Krishna Bokka, Vuda Sreenivasarao

Article Citation :Radha Krishna Bokka ,Vuda Sreenivasarao , (2015 ) " Improving Classification Efficiency Of Large Data Sets Using New Supervised Learning Algorithm " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 20-26, Volume-3, Issue-3

Abstract : Now a day’s information plays a great role in the development of a country in particular or world in general. This information should be organized in the form which is more important for its user. To organize this data, we might need data mining concepts, which discover the knowledge by analyzing the large volumes of data from various dimensions and summarizing it into useful information. It is used to identify hidden patterns in a large dataset. Classification methods are techniques that classify data item into predefined class label based on the training dataset. Classification method is one of the most useful techniques in data mining to build classification models from an input dataset. Basically classification can be done either using supervised learning or unsupervised learning methods.In this paper, we have worked with different data mining supervised classification algorithms and find out the efficiency and improve the performance of large datasets based on new supervised learning algorithm. Keywords- Classification, Data Mining, New Classification Technique, Lazy Learner.

Type : Research paper

Published : Volume-3, Issue-3

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