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The raw data from an Automated Blood Cell Counter is transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases and the transformed data is used to create meaningful associations between the attributes of the database in this paper. Various Association Rules are generated using general algorithm and apriori algorithm. The apriori algorithm...
This paper analyzes the functions of an automated blood cell counter from a clinical pathology laboratory and proposes an application of the data preprocessing phase of the Knowledge Discovery in Databases (KDD) processes such as data cleaning, data selection and data transformation on the blood cell counter data to enhance the quality of the system. The blood cell counter data are subjected to a...
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