MAPPING WITH THE HELP OF NEW PROPOSED ALGORITHM AND MODIFIED CLUSTER FORMATION ALGORITHM TO RECOMMEND AN ICE CREAM TO THE DIABETIC PATIENT BASED ON SUGAR CONTAIN IN IT

Author:

Gaikwad Suhas Machhindra,Mulay Preeti,Joshi Rahul Raghvendra

Abstract

The research for suggesting an ice cream for a diabetic patient is carried out in data mining by using clustering and mapping between the data for ice cream and diabetic patients. Here, mapping of ice cream dataset with diabetic patient dataset is done by using MFCA, which is proposed and explained in this paper. The results obtained from MCFA algorithm and the new proposed algorithm are explained and verified and it is observed that they are having the relevance.

Publisher

GIAP Journals

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Closeness Factor Based Clustering Algorithm (CFBA) and Allied Implementations—Proposed IoMT Perspective;A Handbook of Internet of Things in Biomedical and Cyber Physical System;2019-07-17

2. Threshold Based Clustering Algorithm Analyzes Diabetic Mellitus;Advances in Intelligent Systems and Computing;2017

3. Cohort Intelligence and Genetic Algorithm Along with Modified Analytical Hierarchy Process to Recommend an Ice Cream to Diabetic Patient;Proceedings of the International Conference on Data Engineering and Communication Technology;2016-08-24

4. Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient;Swarm, Evolutionary, and Memetic Computing;2016

5. Modified Analytical Hierarchy Process to Recommend an Ice Cream to a Diabetic Patient;Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS '16;2016

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