Volume 2 - Issue 2
Analysis of KNN Technique in Climate Prediction Using Data Mining
Abstract
The effect for environmental prediction on society, business, agribusiness also practically know parts of human life, energy the researcher on provide for fitting thoughtfulness regarding those is concerned. The most recent couple quite some time demonstrates enormous achievements in this field. Every one framework and strategies created in this way utilize the ocean surface temperature (SST) similarly as the primary factor, "around different regular climatic qualities. Factual added to scientific models would afterward utilize to further atmosphere predictions. In this paper, create an arrangement that employments those authentic climate information of a district (rain, wind speed, dew point, temperature, and so forth. ), and apply the data-mining algorithm “K-Nearest neighbor (KNN)” to arrangement from claiming these chronicled information under a particular duration of the time compass. The k closest run through spans (k closest neighbors) would afterward made will foresee the climate. Those framework likewise utilization choice help (DS) framework for foresee those climate. Our investigations indicate that the framework generates exact comes about inside sensible the long run for months ahead of time.
Paper Details
PaperID: 6702628
Author Name: M.A.K. Nafeela and K. Madhavan
Author Email: -
Phone Number: -
Country: -
Keywords: Data Mining, K- Nearest Neighbor, Prediction, Temperature
Volume: Volume 2
Issues: Issue 2
Issue Type: Issue
Year: 2015
Month: June
Pages:142-145