Information Cleansing and Processing

Information Cleansing and Processing

Manjunath Ramachandra (MSR School of Advanced Studies, Philips, India)
DOI: 10.4018/978-1-60566-888-8.ch007

Abstract

The data gathered from the sources are often noisy Poor quality of data results in business losses that keep increasing down the supply chain. The end customer finds it absolutely useless and misguiding. So, cleansing of data is to be performed immediately and automatically after the data acquisition. This chapter provides the different techniques for data cleansing and processing to achieve the same.
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Background

Data processing involves data cleaning (Maletic, J., & Marcus A., 2000) as well as restructuring carried out using transformations. The Information processing involves removal of redundancies from the data. It comprises of the data fusion and integration. Finally, the processed data would be stored as data mart or data warehouse.

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