Abstract
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. KeywordsMining, Association Rule Mining, Medicinal flowers, prediction.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
