Researchon Classification Techniques in Data Mining

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Abstract

Data Mining means a procedure to extracting the information out of large data. Data miningapproaches includes classification, association rule, clustering, etc. Data mining is applied in four stages such as data sources, data extrapolation / gathering, modeling and deploying modules. Classification is a method in data mining to predict the group membership of data instances. It’s an method useful in data mining with vast applications for classifying the different types of data used in almost every fields. Classification is giving a class label to in determine set of cases. In this survey, we would like discuss Bayesian classification, rules based classification, Decision trees &neural network.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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