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A Theoretical Approach towards Data Preprocessing Techniques in Data Mining – A Survey
Lilly Florence M,Swamydoss D 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
Nowadays, a huge amount of data is stored in system from web, mobile, social media, and health centre or from any production company. Unfortunately these data cannot be used as it is. For knowledge discovery, we must use the quality input. To convert this data into quality input, we have many algorithms and methods in data mining. The preprocessing techniques are used for convert the noise data into quality data. So preprocessing steps are the most important steps in data mining. This paper presents all data preprocessing methods. Here the authors describes the four main process namely data cleaning, data integration, data reduction and data transformation.