Mining Association: A Case Study of Breast Cancer Data

dc.contributor.author	Hosna, Asmaul
dc.contributor.author	Sazzad, Nasim Ahmed
dc.date.accessioned	2019-03-04T07:49:51Z
dc.date.available	2019-03-04T07:49:51Z
dc.date.issued	4/22/2018
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/2994
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.	en_US
dc.description.abstract	In breast cancer field early detection of breast cancer can provide potential advantages in the treatment of this diseases .Data mining algorithm can provide a great assistance in prediction of early age breast cancer that has always been an challenging research problem. The main objective of this research is to find how precisely can this data mining algorithms predict the probability of recurrence of the diseases among the patients on the basis of their clinical data.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;CSE00170
dc.subject	breast cancer, recurrence, data mining, probability	en_US
dc.title	Mining Association: A Case Study of Breast Cancer Data	en_US
dc.type	Thesis	en_US