Title :
Preprocessing and generation of association rules for Automated Blood Cell Counter data in haematology
Author :
Minnie, D. ; Srinivasan, S.
Author_Institution :
Dept. of Comput. Sci., Madras Christian Coll., Chennai, India
Abstract :
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 is found to be efficient than the general algorithm. Twelve thousand records are taken from a clinical laboratory for processing.
Keywords :
blood; data mining; database management systems; medical computing; KDD processes; apriori algorithm; association rules; automated blood cell counter data; clinical laboratory; flattened data; general algorithm; haematology; knowledge discovery in databases; preprocessed data; Algorithm design and analysis; Association rules; Blood; Databases; Pathology; Radiation detectors; Association Rule Mining; Blood Cell Counter; Data Mining; Hematology; Knowledge Discovery in Databases;
Conference_Titel :
Recent Advances in Computing and Software Systems (RACSS), 2012 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0252-4
DOI :
10.1109/RACSS.2012.6212692
