Thoracic Surgery Analysis Using Data Mining Techniques

Data Mining is taking out of hidden pattern from a huge database. In data mining, machine learning is mainly focused as research which is mechanically learnt to identify complex patterns and make intelligent decisions based on data. These days Lung Tumor is one of the major causes of death in the developing countries. Today, lung tumor is the most frequent indication for thoracic surgery. By classification, general thoracic surgery includes knowledge, methodological skill and judgment to diagnose and treat diseases of the chest. In this paper the data classification is Thoracic Surgery (Lung Cancer) patients' data set which is consists of 470 instances with 14 different attributes is collected retrospectively. Traditionally, more standard Dm algorithms has presented to the society past decades. Among them we cannot access all Dm algorithms. So, in this paper presents, choosen best one algorithm among the Standard Dm algorithms for reduce the search and time complexity.