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| 008 | 201021s2017 th uu m rtt 0| a1eng d | ||
| 035 | _a.b12354491 | ||
| 099 | 9 | _aAIT RSPR no.ICT-17-03 | |
| 100 | 1 | _aSindhuja, Sankeneni | |
| 245 | 1 | 0 | _aApplication of data mining techniques to measure cancer morbidity and mortality data |
| 260 |
_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2017 |
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| 300 |
_a49 leaves : _bill. |
||
| 490 | 1 |
_aResearch studies project report ; _vno. ICT-17-03 |
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| 500 | _aA 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 | ||
| 502 | _aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017 | ||
| 520 | _aIn 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 | ||
| 650 | 0 |
_aData mining _xTechnological innovations |
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| 650 | 0 |
_aCancer _xMortality |
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| 700 | 1 |
_aGuha, Sumanta, _eChairperson |
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| 700 | 1 |
_aPhan, Minh Dung, _eExamination Committee |
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| 700 | 0 |
_aAttaphongse Taparugssanagorn, _eExamination Committee |
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| 710 | 2 |
_aAIT Fellowship, _eScholarship donor |
|
| 810 | 2 |
_aAsian Institute of Technology. _tResearch studies project report ; _vno. ICT-17-03 |
|
| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B08743 |
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