Earticle

초록

영어

Technological advancements have evolved into several application domains to solve various problems. One such technological area is Data Mining. It has shown its significance and potential in health care industries to serve as a guiding and decision making component. Its potential in unveiling new trends in health care organizations has proved its importance for all people associated with this area. It is the most important and encouraging area of research which have the motive to find out the information from large data set. Advance researches in data mining had made it a key player in health care field. Good analytical techniques are of utmost requirement for detecting precious information lying hidden in health industry data. This survey paper presents the importance and usefulness of different Data mining techniques such as classification, clustering, Decision Tree, Naive Bayes etc. in health domain. Here the study and comparison is done of different data mining techniques used for prediction of cancer disease from clinical dataset with different accuracy.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. Cancer
  3.1. Classification of Cancer
  3.2. Causes of Cancer
 4. Related Work
 5. Results and Discussion
 6. Conclusion and Future Work
 References

키워드

저자

• Satyam Shukla [ KNIT Sultanpur U.P. ]
• Dharmendra Lal Gupta [ KNIT Sultanpur U.P. ]
• Bakshi Rohit Prasad [ IIIT Allahabd,U.P. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605