Details



EMPLOYABILITY OF MULTIPLE DATA MINING APPROACHES IN ENHANCING THE EFFICACY OF WEATHER FORECASTING

Muskan Talreja

125-130

Vol. 8, Issue 1, Jul-Dec, 2018

Date of Submission: 2018-09-03 Date of Acceptance: 2018-10-02 Date of Publication: 2018-10-23

Abstract

Weather forecasting is the utilization of science and innovation to foresee the condition of weather for a specific area. Here this framework will anticipate the climate-dependent on boundaries like temperature, humidity and wind. This framework is a web application with a powerful graphical UI. To foresee the future's climate condition, should use the shift in the states in previous years. The likelihood that it will coordinate inside the range of pioneer days of the last year is exceptionally high. We have proposed using Naive Bayes and K-medoids prediction for climate measure framework with boundaries like temperature, dampness, and wind. It will gauge climate dependent on the record; accordingly, this forecast will demonstrate high accuracy. This framework can be utilized in Navy, Marine, Air Traffic Control, Forestry, Agriculture and Military etc.

References

Download PDF
Back

Disclaimer: Indexing of published papers is subject to the evaluation and acceptance criteria of the respective indexing agencies. While we strive to maintain high academic and editorial standards, International Journal of Innovations in Scientific Engineering does not guarantee the indexing of any published paper. Acceptance and inclusion in indexing databases are determined by the quality, originality, and relevance of the paper, and are at the sole discretion of the indexing bodies.