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Classification Based Pattern Analysis on the Medical Data in Health Care Environment

Authors(3):

Shiv Shakti Shrivastava, Dr. V.K.Choubey, Dr. Anjali Sant
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In this paper discuss the classification based pattern analysis techniques. The classification based pattern analysis is very efficient process in compression of other techniques. In umbrella of classification technique there are various algorithm are there. The classification algorithm such as Decision Tree (DT), Support Vector Machine (SVM), KNN and neural network based classification technique. The process of classification depends on the value of feature attribute for the collection of data. The feature selection and feature optimization is important aspect for the improvement of classification process. The optimization process reduces the unwanted feature during the process of classification. [5] The medical disease data also have some noise data and boundary value data. For the optimization of feature used Ant Colony Optimization (ACO) technique. The Ant Colony Optimization technique is dynamic population based optimization algorithm. The values of artificial ants find the dissimilar value of attribute during the data selection process.

Shiv Shakti Shrivastava, Dr. V.K.Choubey, Dr. Anjali Sant

ACO, KNN, SVM, DT

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2015-01-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
140-142 IJSRSET162142   Technoscience Academy

Cite This Article

Shiv Shakti Shrivastava, Dr. V.K.Choubey, Dr. Anjali Sant , "Classification Based Pattern Analysis on the Medical Data in Health Care Environment ", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.140-142, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET162142.php

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