A Review on Data Normalization Techniques

Abstract

A bulk data is generated from various sources. The sources may provide duplicate data with some representative changes. To mine such big data and create representative data is a challenging task. The data importance increases when it is linked with similar resources and similar data is fused in one source. Lot of research work has been done to provide a single representative data of all real world entities by removing the duplicate records. This task is called record normalization. This paper aims to study various existing data normalization techniques along with its advantages and limitations. Based on the existing system study a new technique is proposed.