Incorporating Negative Association Rules to discover meaningful Outlier from Non_Reduct Computation : A Medical Predicitve Analysis

Outlier Mining has always attract much attention among the data mining community. This paper discusses on the discovery of meaningful outlier detection based on Non_Reduct computation by incorporating the Negative Association Rules. Non_Reduct computation is proposed to detect outliers from rare classes. These outliers may have meaningful knowledge having incorporating the concept of Negatives rules to the outlier rules. Thus, a meaningful and comprehensive knowledge is expected to obtain for medical reasoning and predictive analysis by the experts in the field. Keywords-Negative Association Rules; Outlier; NonReduct; Infrequent ; Frequent itemsets;