• BHANUMATHI S
• Dr.S.N.Chandrashekara

Now a day, throughout the world, lung cancer is the main reason of death. Data mining (DM) methods in the field of illness diagnosis is being approved in the health institutions. This opportunity has made way for several opportunities to conduct treatments for diseases. In order to derive some beneficial information from huge quantity of data, the Data mining is the most popular used method. Some of the data mining approaches like classification, relationship rule mining and clustering have been exercised to examine the types of disease. Classification is a crucial and an important process in Data mining. Presently, data mining has a significant function in the medical organizations in pursuance of predicting some severe diseases like cancer, etc. This paper aims to study on the recent data mining techniques of detecting and diagnosing lung diseases in the early stages so as to help doctors to save patient’s life. This study briefly analyses the potential use of classification based data mining techniques, feature selection, and dimension reduction.

Data mining, cancer prediction, lung tumour, classification, survey.

"A Comprehensive Survey on State of the Art Mechanisms and Data Mining Techniques for Accurate Prediction of Cancers with special focus on Lung Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.426-435, June 2019, Available :http://www.jetir.org/papers/JETIR1907C23.pdf

"A Comprehensive Survey on State of the Art Mechanisms and Data Mining Techniques for Accurate Prediction of Cancers with special focus on Lung Cancer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp426-435, June 2019, Available at : http://www.jetir.org/papers/JETIR1907C23.pdf