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Mining Association: A Case Study of Breast Cancer Data

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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


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