D. Minnie

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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 clusters of the database in this paper. The K-Means algorithm is applied on the database to form various clusters. Twelve thousand records(More)
In this paper we analyse the components of the bone marrow and the bone marrow analysis data. Eighteen thousand bone marrow records are collected from a reputed Clinical Pathological Laboratory and this raw data is transformed into a pre-processed and flattened data using the pre-processing phases of the Knowledge Discovery in Databases. The transformed(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)
This paper applies the preprocessing phases of the Knowledge Discovery in Databases to the automated blood cell counter data and creates discrete ranges of blood cell counter data that can be used in grouping data using classification, clustering and association rule generation. The functions of an automated blood cell counter from a clinical pathology(More)
This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines, and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search provides the user with results for queries on that domain. Meta(More)
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