An Analysis of Cancer Affected People using Classification Data Mining Algorithms
H. Sithic, and R. Rani. International Journal of Innovative Science and Modern Engineering (IJISME), 3 (6):
68-72(May 2015)
Abstract
Data mining is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. The techniques can find novel patterns that may assist as enterprise in understanding the business better and in forecasting. Much research is being carried out in applying data mining to a variety of applications in healthcare1. This article explores data mining techniques in healthcare management. Particularly, it talk about data mining and its various application in areas where people are mostly affected rigorously by cancer in Erode District, Tamil Nadu, India. The people affected by cancer using tobacco, chemical water. This paper identifies the cancer level using classification algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health venture
%0 Journal Article
%1 noauthororeditor
%A Sithic, H. Lookman
%A Rani, R. Uma
%D 2015
%E Kumar, Dr. Shiv
%J International Journal of Innovative Science and Modern Engineering (IJISME)
%K Cancer Classification Data Mining algorithms.
%N 6
%P 68-72
%T An Analysis of Cancer Affected People using Classification Data Mining Algorithms
%U https://www.ijisme.org/wp-content/uploads/papers/v3i6/F0868053615.pdf
%V 3
%X Data mining is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. The techniques can find novel patterns that may assist as enterprise in understanding the business better and in forecasting. Much research is being carried out in applying data mining to a variety of applications in healthcare1. This article explores data mining techniques in healthcare management. Particularly, it talk about data mining and its various application in areas where people are mostly affected rigorously by cancer in Erode District, Tamil Nadu, India. The people affected by cancer using tobacco, chemical water. This paper identifies the cancer level using classification algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health venture
@article{noauthororeditor,
abstract = {Data mining is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. The techniques can find novel patterns that may assist as enterprise in understanding the business better and in forecasting. Much research is being carried out in applying data mining to a variety of applications in healthcare[1]. This article explores data mining techniques in healthcare management. Particularly, it talk about data mining and its various application in areas where people are mostly affected rigorously by cancer in Erode District, Tamil Nadu, India. The people affected by cancer using tobacco, chemical water. This paper identifies the cancer level using classification algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health venture},
added-at = {2021-09-20T05:45:24.000+0200},
author = {Sithic, H. Lookman and Rani, R. Uma},
biburl = {https://www.bibsonomy.org/bibtex/28a0c31f3d560e4674a3f83ac85df804c/ijisme_beiesp},
editor = {Kumar, Dr. Shiv},
interhash = {89d397d7428fafa6cc362a38092cfb33},
intrahash = {8a0c31f3d560e4674a3f83ac85df804c},
issn = {2319-6386},
journal = {International Journal of Innovative Science and Modern Engineering (IJISME)},
keywords = {Cancer Classification Data Mining algorithms.},
language = {En},
month = may,
number = 6,
pages = {68-72},
timestamp = {2021-09-20T05:45:24.000+0200},
title = {An Analysis of Cancer Affected People using Classification Data Mining Algorithms},
url = {https://www.ijisme.org/wp-content/uploads/papers/v3i6/F0868053615.pdf},
volume = 3,
year = 2015
}