Open AccessWeather Prediction System Using KNN Classification Algorithm
Author(s) -
Yousif Elfatih Yousif
Publication year - 2022
Publication title -
european journal of information technologies and computer science
Language(s) - English
Resource type - Journals
ISSN - 2736-5492
DOI - 10.24018/compute.2022.2.1.44
Subject(s) - field (mathematics) , data mining , weather prediction , data set , computer science , wind speed , process (computing) , set (abstract data type) , weather forecasting , statistical classification , algorithm , machine learning , artificial intelligence , meteorology , mathematics , geography , pure mathematics , programming language , operating system
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.