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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 4, APRIL 2016

Fitness Advisor System Using Data Mining

Christy Samuel Raju, Sanchit V Chavan, Karan Pithadia, Shraddha Sankhe, Prof. Sachin Gavhane

DOI: 10.17148/IJARCCE.2016.5451

Abstract: There are a lot of health related problems today that have a direct or an indirect connection to the respective person's body weight. Efficient diagnosis of the same and spreading proper awareness about the health hazards associated with body weight is the need of the hour. �Fitness Advisor� is a desktop application that advises the user according to his/her problem. The system uses data mining as a tool to bridge the gap between the diagnosis/solution and the user. The system uses a combination of clustering and association algorithms to efficiently direct the respective user to the best possible solution.



Keywords: Fitness, Advice, Clustering, Association, Data Mining, Health.

How to Cite:

[1] Christy Samuel Raju, Sanchit V Chavan, Karan Pithadia, Shraddha Sankhe, Prof. Sachin Gavhane, “Fitness Advisor System Using Data Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5451