Data Mining for Heart Disease Dataset Using Genetic Algorithm with J48 Classifier
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 145 | Views: 447

Research Paper | Computer Science & Engineering | India | Volume 6 Issue 3, March 2017 | Popularity: 6.8 / 10


     

Data Mining for Heart Disease Dataset Using Genetic Algorithm with J48 Classifier

Arunpreet Veen, Deepak Aggarwal


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


Edition: Volume 6 Issue 3, March 2017


Pages: 330 - 334



Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Arunpreet Veen, Deepak Aggarwal, "Data Mining for Heart Disease Dataset Using Genetic Algorithm with J48 Classifier", International Journal of Science and Research (IJSR), Volume 6 Issue 3, March 2017, pp. 330-334, https://www.ijsr.net/getabstract.php?paperid=ART20162608, DOI: https://www.doi.org/10.21275/ART20162608

Top