Data Mining for Heart Disease Dataset Using Genetic Algorithm with J48 Classifier
Abstract: Classification has been used for extraction of hidden patterns available in dataset. Classifier has been used for prediction of class labels to the testing dataset using classification methodology. In this paper heart disease prediction classification has been done using J48 classifier with genetic approach for attribute selection. Genetic approach selects optimizes attributes subset for classification that can provide better classification accuracy. In this paper result of purposed classifier has been illustrated.
Keywords: Genetic Algorithm, J48, crossover, mutation and information gain
How to Cite?: Arunpreet Veen, Deepak Aggarwal, "Data Mining for Heart Disease Dataset Using Genetic Algorithm with J48 Classifier", Volume 6 Issue 3, March 2017, International Journal of Science and Research (IJSR), Pages: 330-334, https://www.ijsr.net/getabstract.php?paperid=ART20162608, DOI: https://dx.doi.org/10.21275/ART20162608