Abstract
Weather data is the most important information for the farmers, Agricultural products, their sales and marketing people, Tourist Travel agencies, Meteorological department scientists & Analysts, Agriculture university people and Environmental department people etc. It is very difficult to predict or analyze Temperatures effectively across various regions to help the farmers and others to safeguard their properties and lives. An attempt has been made in this direction with the help of data science techniques, Data Mining Techniques and Machine learning algorithms to analyze the Chennai temperature data effectively and to bring useful conclusions in this direction.
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Special thanks to the India water portal for providing the Chennai temperature data set.
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Rajanikanth, J., Rajini Kanth, T.V. (2020). Chennai Weather Data Analysis Using Hybrid Data Mining Techniques. In: Nayak, J., Balas, V., Favorskaya, M., Choudhury, B., Rao, S., Naik, B. (eds) Applications of Robotics in Industry Using Advanced Mechanisms. ARIAM 2019. Learning and Analytics in Intelligent Systems, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-30271-9_33
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DOI: https://doi.org/10.1007/978-3-030-30271-9_33
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