TY  - JOUR
T1  - An Efficient Entropy Weighted Deviation Approach to Simplify Weighted Association Rules in Bio Medical Applications
AU - Gomathy, B. AU - Shanmugam, A. AU - Ramesh, S.M. 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 4
SP  - 239
EP  - 246
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.239.246
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.239.246
KW  - Prediction
KW  -looping of rules
KW  -association rules
KW  -Entropy Weighted Deviation (EWD)
KW  -bio-medical
AB  - In today’s 
  era prediction of diseases is made in the way of data mining that is providing 
  big deal of finding hidden patterns in large data bases. This prediction is 
  made on the basis of association rules which are large in number and consists 
  of many looping of rules. This increases the complexity of the whole system 
  to arrive a simple result. This association rules compares the parameters of 
  tested data of a patient such as risk factors and arrives results of presence 
  of disease by following some predictive rules which consists of branches in 
  decision tree structure. So, researchers generate system that works on entropy 
  weighted deviation approach having effective resource allocation and utilization 
  of data in minimum cost. In future, the system provides an adept methods disease 
  prediction in various bio-medical applications.
ER  -