Performance evaluation of different techniques in the context of data mining- A case of an eye disease

This paper presents a comparative analysis of optimization techniques in the context of data mining. We have considered eye disease problems and recommendation of respective lenses. The optimization in data mining plays a fundamental role for the extraction of patterns or knowledge in minimum time. We have studied and implemented three optimization techniques such as fuzzy logic based approach, neural network based approach (perceptron based and Back-propagation based). For the experimentation purpose data from eye clinic are collected to understand the appropriate disease and recommend the type of lenses for patient. The paper also covers the analysis observations and discussions based on the obtained results.