FogLearn

Rabindra K. Barik, Rojalina Priyadarshini, Harishchandra Dubey, Vinay Kumar, Kunal Mankodiya
2018 International Journal of Fog Computing  
Big data analytics with the cloud computing are one of the emerging area for processing and analytics. Fog computing is the paradigm where fog devices help to reduce latency and increase throughput for assisting at the edge of the client. This paper discussed the emergence of fog computing for mining analytics in big data from geospatial and medical health applications. This paper proposed and developed fog computing based framework i.e. FogLearn for application of K-means clustering in Ganga
more » ... ver Basin Management and realworld feature data for detecting diabetes patients suffering from diabetes mellitus. Proposed architecture employed machine learning on deep learning framework for analysis of pathological feature data that obtained from smart watches worn by the patients with diabetes and geographical parameters of River Ganga basin geospatial database. The results showed that fog computing hold an immense promise for analysis of medical and geospatial big data.
doi:10.4018/ijfc.2018010102 fatcat:pxsevf4c6nd67etlmit4rddoee