期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：70
期号：2
出版社：Journal of Theoretical and Applied
摘要：In this paper we analyze the components of the bone marrow and the structure of the bone marrow database. The Knowledge Discovery in Databases (KDD) steps are briefly explained. 18,000 bone marrow analysis records are collected from a reputed Hospital and this raw data is transformed into a preprocessed data using the pre-processing phases of KDD such as Data Cleaning, Data Selection and Data Transformation. Eliminate the tuple technique is used to clean the data. The attributes related to the bone marrow components are selected. The ranges of low, high and normal values for the individual attributes are used to transform the data. The Data Mining techniques are studied and the Apriori algorithm is selected for finding frequent item sets that are used for the generation of association rules.
关键词：Knowledge Discovery in Databases; Data Mining; Association Rule Mining; Haematology; Bone Marrow Analysis.
