Collaborating Data Mining Modeling with Big Data Analytics for Disaster Prediction
Sumita Mukherjee1, Prinima Gupta2, Felix Musau3
1Sumita Mukherjee, Research Scholar, Manav Rachna University, Faridabad (Haryana), India.
2Dr. Prinima Gupta, Professor, Manav Rachna University, Faridabad (Haryana), India.
3Dr. Felix Musau, Professor, Riara University, Nairobi, Kenya.
Manuscript received on 20 March 2019 | Revised Manuscript received on 25 March 2019 | Manuscript published on 30 July 2019 | PP: 4812-4818 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2448078219/19©BEIESP | DOI: 10.35940/ijrte.B2448.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data mining is the procedure of bringing out the earlier unfold justifiable, logical, intelligible, functional information from large databases, big data to deliver accurate prediction, decision and implementation systems in engineering, business, research and education world. Data mining will effectively introduce the computing strategies and techniques to retrieve the applicable and convenient information from combined large databases known as big data. This paper signifies and explains Big data, Data mining and the importance and ease of Data mining using big data as a back end for delivering appropriate forecasts, prediction and experimental prospective solution as a front end.
Keywords: Data mining Big data Analytics for Disaster Prediction
Scope of the Article: Data mining