Improving Classification Efficiency Of Large Data Sets Using New Supervised Learning Algorithm
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.