Analysis and Study of the Scope of Improvements in Fitness Advisor Systems using Data Mining |
Author(s): |
| Christy Samuel Raju , Atharva College of Engineering, Malad (W), India; Sanchit V Chavan, Atharva College of Engineering, Malad (W), India; Karan Pithadia, Atharva College of Engineering, Malad (W), India; Shraddha Sankhe, Atharva College of Engineering, Malad (W), India; Prof. Sachin Gavhane, Atharva College of Engineering, Malad (W), India |
Keywords: |
| Fitness, Advice, Clustering, Association, Classification, Data Mining, Health |
Abstract |
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Today a fair number of health problems can be associated to a person's weight. Tackling this crisis with efficient diagnosis and spreading awareness about body weight related health problems is the need of the hour. The proposed system has a simple principle: "Better solution can be obtained only through better diagnostic methods". The proposed system is an application that advises the user to follow certain procedure to tackle his/her weight related problem. The system identifies three basic user requirements: gaining weight, losing weight and maintaining weight. The system uses data mining to efficiently direct all its users to the best possible solution. Clustering, Classification and Association algorithms are all used in the proposed system. |
Other Details |
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Paper ID: NCTAAP104 Published in: Conference 4 : NCTAA 2016 Publication Date: 29/01/2016 Page(s): 443-446 |
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