Knowledge mining: An approach using comparison of data cleansing tools

Abstract

Data Cleaning is a process to improve the quality of the data by adding few factors like removing missing values from the database, removing delicacy, correcting inconsistent data, data acquit ion and noisy data etc. we have also discussed how to remove missing data and various problems which arise due to the date formats as different systems have different set of date formats in which date is stored.

Keywords:

• knowledge mining
• data cleansing
• similarity grouping
• Trie-based Similarity Predicate

Mathematics Subject Classification 2010:

• 68U99