文章基本信息

标题：Application of Meta learning in the detection of Lung Cancer
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作者：Sanjay Kumar Sen ; Dr. B.K. Ratha
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：26
期号：1
页码：32-36
DOI：10.14445/22312803/IJCTT-V26P106
出版社：Seventh Sense Research Group
摘要：Now a days Cancer is the most vital cause of death for both men and women in the world wide. There are several types of cancer like lung cancer, breast cancer and prostrate cancer etc. Among those lung cancer is the most fatal disease. Worldwide, lung cancer continues to be the leading cause of cancerrelated mortality in men and women alike 2. If these diseases are detected in early stage then is patient can be survived, but most of the time the diseases detected at later stage for which the mortality rate rises. This paper proposes a methodology using a data mining which could predict the lung cancer at an early stage thereby increasing the survival rate of the patient by five years. This paper proposes a methodology using a data mining which could predict the lung cancer at an early stage thereby increasing the survival rate of the patient. This paper proposes a methodology using a data mining which could predict the lung cancer at an early stage thereby increasing the survival rate of the patient by five years. The experimental result shows the performance analysis of different metalearning algorithms and also compared on the basis of misclassification and correct classification rate, the error rate focuses True Positive, True Negative, False Positive and False Negative and Accuracy. This project aims for mining the relationship in lung cancer data for efficient classification. The data mining methods and techniques will be explored to identify the suitable methods and techniques for efficient classification of cancer dataset and in mining useful patterns.
关键词：Data mining; meta learning algorithm