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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(More)
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 clusters of the database in this paper. The K-Means algorithm is applied on the database to form various clusters. Twelve thousand records(More)
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(More)
The increased use of Web resources has created a need for more efficient and useful search methods. The current mechanisms for assisting the search and retrieval process are quite limited, mainly because they lack access to documents semantics and because of the underlying difficulties in providing suitable search patterns. This paper proposes intelligent(More)
The raw Complete Blood Count (CBC) or Full Blood Count (FBC) data from an Automated Blood Cell Counter are collected and transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases. The data is classified into child and adult data sets. The transformed data is used to create clusters of the(More)
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