Study of Classification Methods in Data Mining

Classification is a data mining technique based on machine learning which is used to classify each item in a set of data into a set of predefined classes or groups. Classification methods make use of mathematical and statistical techniques such as decision trees, linear programming, neural network and other methods like genetic approach, fuzzy set approach, ruled based, etc. This paper is a survey of different classification methods and there advantages. In this paper, classification method is considered, it focuses on a survey on various classification techniques that are most commonly used in data mining.

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Resource Details

Provided by:
International Journal Of Electronics,Communication And Soft Computing Science &Engineering (IJECSCSE)
Topic:
Big Data
Format:
PDF