An Algebraic Approach Towards Data Cleaning

There has been a proliferation in the amount of data being generated and collected in the past several years. One of the leading factors contributing to this increased data scale is cheaper commodity storage, making it easier for organisations to house large data stores containing massive amounts of historical data. To effectively analyse these data sets, a preprocessing step is often required as most real data sets are inherently dirty and …