Data Pre-Processing And Its Implications In Data Mining

Abstract

This study on data preparation and its techniques demonstrates the necessity of data pre-processing. How does it raise data quality, as good data produces results that are appropriate? This Paper also discusses the central role of data processing in data analysis. What different facets make up the KDD process? Without data pretreatment, we cannot perform KDD. Along with data visualization, this work also discusses data transformation and discretization. This paper also describes the methods and tools of data preprocessing as well as focused data preprocessing and its methods. Apart from that, it also discusses data visualization. The handling of the missing data was another major topic of the article. In this research Paper also delves a small project and describes a case study.