Application of data mining techniques to measure cancer morbidity and mortality data | |
| Author | Sindhuja, Sankeneni |
| Call Number | AIT RSPR no.ICT-17-03 |
| Subject(s) | Data mining--Technological innovations Cancer--Mortality |
| Note | 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 |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ICT-17-03 |
| Abstract | 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 |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-17-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Phan Minh Dung;Attaphongse Taparugssanagorn; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017 |