Weather Prediction System Using KNN Classification Algorithm



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Submitted Dec 28, 2021
Published Feb 10, 2022
10.24018/compute.2022.2.1.44

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Data Mining is a technology that facilitates extracting relevant and which have factors in common from the set of data. It is the process of analysis data from different perspectives and discovering problems, patterns, and correlations in data sets that are useful for predicting outcomes that help you make a correct decision.  Weather Prediction is a field of meteorology that is created by collecting dynamic data related to the current state of the weather such as temperature, humidity, rainfall, wind. In this paper, we designed a system using a classification method by k-Nearest Neighbors algorithm for predict whether through previous data to determine the expected temperature and humidity the prediction results were compared with real results, the comparison was good and acceptable.

Keywords: Correlations, classification, data Mining, discovering problems, k-Nearest neighbors algorithm, patterns

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