IEEE Style Citation: Dipti N. Punjani, Kishor Atkotiya, “A Comprehensive Study of Various Classification Techniques in Medical Application using Data Mining,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1039-1042, 2018.
MLA Style Citation: Dipti N. Punjani, Kishor Atkotiya "A Comprehensive Study of Various Classification Techniques in Medical Application using Data Mining." International Journal of Computer Sciences and Engineering 6.6 (2018): 1039-1042.
APA Style Citation: Dipti N. Punjani, Kishor Atkotiya, (2018). A Comprehensive Study of Various Classification Techniques in Medical Application using Data Mining. International Journal of Computer Sciences and Engineering, 6(6), 1039-1042.
BibTex Style Citation:
@article{Punjani_2018,
author = {Dipti N. Punjani, Kishor Atkotiya},
title = {A Comprehensive Study of Various Classification Techniques in Medical Application using Data Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1039-1042},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2295},
doi = {https://doi.org/10.26438/ijcse/v6i6.10391042}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10391042}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2295
TI - A Comprehensive Study of Various Classification Techniques in Medical Application using Data Mining
T2 - International Journal of Computer Sciences and Engineering
AU - Dipti N. Punjani, Kishor Atkotiya
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1039-1042
IS - 6
VL - 6
SN - 2347-2693
ER -
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Abstract
Data mining is a set of techniques to analyze available data to find some hidden truths and unknown facts. The purpose of these techniques is to determine the information from the data. Such information might be in the form of explaining past or predicting future. In recent years, prediction algorithms are used for various applications. From prediction of student performance to product selling, from prediction of diseases to stock market, we try to find out what will happen in future using prediction algorithms. One of the most widely used future predictions is classification. This paper discusses how classification helps in prediction of life threaten diseases like cervical cancer.
Key-Words / Index Term
Data Mining, Prediction, Classification, Decision Tree, Naïve Bayes, Cancer, Cervical Cancer
References
[1] Han, Jiawei, Jian Pei, and Micheline Kamber. Data mining: concepts and techniques. Elsevier, 2011.
[2] Aggarwal, Charu C. Data mining: the textbook. Springer, 2016.
[3] Jiawei Han, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2001
[4] Kaur H, Wasan SK. Empirical Study on Applications of Data Mining Techniques in Healthcare. J Comput Sci. 2006;2(2):194-200. doi:10.3844/jcssp.2006.194.200.
[5] Venkatadri.M and Lokanatha C. Reddy ,“A comparative study on decision tree classification algorithm in data mining” , International Journal Of Computer Applications In Engineering ,Technology And Sciences (IJCAETS), Vol.- 2 ,no.- 2 , pp. 24- 29 , Sept 2010.
[6] Safavian, S. Rasoul, and David Landgrebe. "A survey of decision tree classifier methodology." IEEE transactions on systems, man, and cybernetics21.3 (1991): 660-674.
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