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Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City)

Sanjeev Gour1

  1. Department of Computer Science, Career College, Bhopal, India.

Correspondence should be addressed to: Sunj129@gmail.com .

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 95-100, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.95100

Online published on Jan 31, 2018

Copyright © Sanjeev Gour . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sanjeev Gour , “Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City),” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.95-100, 2018.

MLA Style Citation: Sanjeev Gour "Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City)." International Journal of Computer Sciences and Engineering 6.1 (2018): 95-100.

APA Style Citation: Sanjeev Gour , (2018). Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City). International Journal of Computer Sciences and Engineering, 6(1), 95-100.

BibTex Style Citation:
@article{Gour_2018,
author = { Sanjeev Gour },
title = {Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {95-100},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1639},
doi = {https://doi.org/10.26438/ijcse/v6i1.95100}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.95100}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1639
TI - Classifying the Incidence Rates of Cancers Using Data Mining Techniques (Perspective to Gas Leakage Accident of Bhopal City)
T2 - International Journal of Computer Sciences and Engineering
AU - Sanjeev Gour
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 95-100
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract

Cancer is one of most dangerous diseases and the incidence rate of cancer in India is increasing every year. Today, number of tools and techniques are available to analyze large cancer dataset. Data mining tools are most frequently used to identify patterns in cancer patients and in cancer diagnosis or detection. Data mining is now widely used in health care industry as it has a great capability to extract hidden patterns from the large past medical record of cancer patients. This study uses Data Mining techniques called Classification and Clustering to classify and compare the incidence rates of TCR (Tobacco Related Cancer) and Non-TCR (Non-Tobacco Related Cancer) in two areas of Bhopal city and extracted some useful and interesting fact from the incidence rates data of cancer patients. The incidence rate data of cancer were obtained during past 40 years from Bhopal-population-based cancer registries (PBCR) of two areas partitioned after Gas tragedy of Bhopal city. This study can be helpful to the medical analysts as a decision support system. The study was done using WEKA Tool.

Key-Words / Index Term

Data Mining, Classification, Clustering, WEKA, Tobacco Related Cancer

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