Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : MULTI DISEASE ANALYSIS USING DATA MINING TECHNIQUE WITH CLUSTERING AND CLASSIFICATION
Volume 04 Issue 06 2017
ISSN no: 2348-3121
Page no: 18-22
Abstract – Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. The greatest challenges is to deal with large dataset with high amount of dimensionality, together in terms of the number of features the data has, as well the number of rows of data that user is dealing with C4.5 Algorithm is a machine learning tool that is capable of performing these tasks. This paper presents an integrative approach to predict the diabetic disease from clinical big data. The clinical database is generally redundant, incomplete, vague and unpredictable. The main objective of this project is clustering the big data using fuzzy c means and feature extraction is done by principle component analysis (PCA) and classify based on C4.5 algorithm.
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