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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 article discusses the emergence of fog computing for mining analytics in big data from geospatial and medical health applications. This article proposes and develops a fog computing-based framework, i.e. FogLearn. This is for the application of K-means clustering in Ganga River Basin Management and real-world feature data for detecting diabetes patients suffering from diabetes mellitus. The proposed architecture employs machine learning on a deep learning framework for the 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 show that fog computing holds an immense promise for the analysis of medical and geospatial big data.<\/p>","DOI":"10.4018\/ijfc.2018010102","type":"journal-article","created":{"date-parts":[[2018,1,29]],"date-time":"2018-01-29T17:12:56Z","timestamp":1517245976000},"page":"15-34","source":"Crossref","is-referenced-by-count":34,"title":["FogLearn"],"prefix":"10.4018","volume":"1","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-3086-3782","authenticated-orcid":true,"given":"Rabindra K.","family":"Barik","sequence":"first","affiliation":[{"name":"School of Computer Applications, Kalinga Institute of Industrial Technology, Bhubaneswar, India"}]},{"given":"Rojalina","family":"Priyadarshini","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India"}]},{"given":"Harishchandra","family":"Dubey","sequence":"additional","affiliation":[{"name":"Center for Robust Speech Systems, The University of Texas at Dallas, Richardson, USA"}]},{"given":"Vinay","family":"Kumar","sequence":"additional","affiliation":[{"name":"Visvesvaraya National Institute of Technology, Nagpur, India"}]},{"given":"Kunal","family":"Mankodiya","sequence":"additional","affiliation":[{"name":"University of Rhode Island, Kingston, USA"}]}],"member":"2432","reference":[{"key":"IJFC.2018010102-0","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2450362"},{"key":"IJFC.2018010102-1","first-page":"241","article-title":"Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems.","author":"R.Barik","year":"2017","journal-title":"Proceedings of the 2017 IEEE\/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)"},{"issue":"4","key":"IJFC.2018010102-2","doi-asserted-by":"crossref","first-page":"54","DOI":"10.4018\/IJAEIS.2017100104","article-title":"CloudGanga: Cloud Computing Based SDI Model for Ganga River Basin Management in India.","volume":"8","author":"R. 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