Title :
Data mining for breast cancer screening
Author_Institution :
CRI (Centre de Recherche en Informatique), University of Paris1-Sorbonne, Paris, France
Abstract :
Data Mining refers to extracting or “mining” knowledge from large amounts of data. Data Mining concepts and techniques have been applied in many fields such as Financial Data Analysis, Retail Industry, Telecommunication Industry, Biological Data Analysis and other Scientific Applications, in medicine but a little in radiology and imagery. We propose in this paper the application of Data Mining techniques in breast imaging for breast cancer screening.
Keywords :
Breast cancer; Data mining; Decision trees; Medical diagnostic imaging; breast cancer; data mining; knowledge; screening;
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
DOI :
10.1109/ICCSE.2015.7250219