Abstract
To classify forest fires dataset w.r.t burned area of the forests, we have brought data mining approach. Forest fires are a major environmental issue, causing damage in terms of economy as well as ecology, besides endangering human frailty and lives. Forest fires are usually unrestrained, and they occur over widespread forest areas taking the shape and vigor of destruction. Data mining is a way to extract the knowledge patterns and information, useful for our work; data being put and taken from the database. Classification has been applied to search and locate the particular or distinct where respective data instances have some relation in one way or the other, confined in the produced dataset.
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Kamalakannan, J., Chakrabortty, A., Bothra, G., Pare, P., Pavan Kumar, C.S. (2019). Forest Fire Prediction to Prevent Environmental Hazards Using Data Mining Approach. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_62
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DOI: https://doi.org/10.1007/978-981-13-1610-4_62
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