Research on Data Preprocess in Data Mining

LEI ZHANG, LI-GANG SUN

Abstract


In the era of big data filled with an increase number of data, most original data is cluttered and incomplete, which seriously affects the execution efficiency of data mining algorithms. Therefore, improving data quality has become one of the main factors affecting data mining. Based on the intelligent medical system, this paper introduces the data conversion method in detail, and through comparison of the three main methods, find out the most effective method of data conversion.

Keywords


Data Mining, Data Preprocess, Discretization, K-means, Information theory.Text


DOI
10.12783/dtcse/cmso2019/33630

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