Abstract
The process of taking business decisions is taking a more scientific approach with the increasing use of information obtained from hidden patterns in data. Data mining entails the process of extracting useful patterns from large datasets to guide decision taking. The steps involved in the decision process include data selection, data cleaning, data mining and evaluation. Owing to the size of the dataset involved in the data mining process, algorithms that identify patterns have to be optimized. A number of tools to make the process of decision support with data mining easier have been developed as the trend increases. ...