TY  - SER
AU  - Sindhuja,Sankeneni
AU  - Guha,Sumanta
AU  - Phan,Minh Dung
AU  - Attaphongse Taparugssanagorn,
ED  - AIT Fellowship,
TI  - Application of data mining techniques to measure cancer morbidity and mortality data
T2  - Research studies project report
PY  - 2017///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Data mining
KW  - Technological innovations
KW  - Cancer
KW  - Mortality
N1  - A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology; Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017
N2  - In this modern era cancer is one of the most common disease we are facing everywhere. The cancer rate is increasing enormously the data is huge to classify it we are using data mining techniques. In this report the data is collected from a cancer hospital, Hyderabad. The data is a combination of different cancers age and treatment and mortality. To estimate the statistics of cancer with respect to age, treatment and mortality we are using decision tree classification for classification of data.For performing decision tree we use rapid miner software to analyze the above statistics
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B08743
ER  -