Sindhuja, Sankeneni creator Guha, Sumanta Chairperson Phan, Minh Dung Examination Committee Attaphongse Taparugssanagorn Examination Committee AIT Fellowship Scholarship donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2017 continuing eng 49 leaves : ill. 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 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 Data mining Technological innovations Cancer Mortality Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B08743 http://203.159.5.9/ait-thesis/detail.php?q=B08743 201021 20260817162847.0