Classification Based Pattern Analysis on the Medical Data in Health Care Environment
Keywords:
ACO, KNN, SVM, DTAbstract
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.
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