Comparison of various data cleaning methos in mining

Abstract

Data mining is very wide area for research. Data quality is a main issue in quality information
management. In this paper we focus on data cleaning methods, Data cleaning is one of the important aspect of
data mining. Data mining, the extraction of hidden predictive information from large databases, is a powerful new
technology with great potential to help companies focus on the most important information in their data
warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive,
knowledge-driven decisions. Data mining has various techniques that are suitable for data cleaning. In this paper
we discuss three major data mining methods, In this paper we have to study various data cleaning techniques to
use before implementation.