A Survey on Medical Data Classification |
Author(s): |
| Sowkarthikaa K , kumaraguru college of technology,coimbatore; Sumathi V.P, kumaraguru college of technology,coimbatore. |
Keywords: |
| Medical Data, IT2FLS, WT |
Abstract |
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Data mining techniques are used on medical data for discovering patterns that are used in diagnosis and decision making. Data mining techniques such as clustering, classification are widely used in healthcare domain. Extensive amounts of knowledge and data stored in medical databases require the development of specialized tools for storing, accessing, analysis, and effectiveness usage of stored knowledge and data. Vagueness, uncertainty, incompleteness, and noises can be detected, reduced by various combinations of techniques. The main goal in this paper is to provide a method for improving the classification of medical data set which will allow us to generate a new representation based on concepts. In this medical data set varieties of classification are complicated. Reducing the number of dimensions and to improve the quality of data. |
Other Details |
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Paper ID: IJSRDV4I20064 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 303-307 |
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