An enhanced data cleaning Framework for data mining

Abstract

In this age of information there is a huge availability of data but newlinethe information is not enough to meet the requirements This creates an urgent newlineneed for data cleaning and data cleaning solutions become highly important newlinefor data mining users Normally data cleaning deals with detecting newlineeliminating errors and inconsistencies in large data sets For any real world newlinedata set doing this task manually is very cumbersome as it involves huge newlineamount of human resources and time This means that several organizations newlineneed to spend millions of dollars per year to detect data errors Due to this newlinewide range of possible data inconsistencies and the sheer data volume data newlinecleaning is considered to be one of the biggest problems in data warehousing newlineNormally the data cleaning is required when multiple data sources need to be newlineintegrated In this research work an Enhanced Common Data Cleaning newlineECDC framework has been developed and proposed It has three phasesnamely newline newline