|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 95 - Number 22
|Year of Publication: 2014
|Authors: S. Vigneswari, S. S. Dhenakaran
S. Vigneswari, S. S. Dhenakaran . Mining Medicinal Information using Flowers. International Journal of Computer Applications. 95, 22 ( June 2014), 15-20. DOI=10.5120/16726-6915
Mining is the art of finding unknown patterns from voluminous data. Medical data mining becomes major concern now a day. The objective of the proposed work is the association of data and prediction of treatment to cure diseases using flowers. The data source used here is the collection of flowers, which have separate medicinal values. Based upon the medicinal worthiness, the vitamin contents, in the flowers, prediction is made for the treatment of diseases. For this purpose, the association rule mining technique is taken into account. Association rules represent knowledge embedded in data sets as probabilistic insinuation and are closely related to computation of frequent item sets that occurs on the given data set.