A Comparative Study of Decision Tree, Naive Bayesian and k-nn Classifiers in Data Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Data mining concept is emerging fast in recognition; it is a technology which is amalgamation of diversified fields like machine learning, artificial intelligence, database system and statistics. The main goal of data mining process is to dig out information from a large data into form which could be comprehensible for further application. There are various methods for classification exists like decision trees, bayesian, neural networks etc. Before applying any mining technique, relevant attributes needs to be extracted. This paper is an introductory paper on different techniques used for classification.
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