Big Data Prediction Framework for Weather Temperature Based on MapReduce Algorithm

Khalid Adam, Ismail Hammad and Jasni, Mohamad Zain and Mazlina, Abdul Majid and Noor Akma, Abu Bakar (2016) Big Data Prediction Framework for Weather Temperature Based on MapReduce Algorithm. In: Conference on Open Systems (ICOS) , 10-12 October 2016 , Langkawi. pp. 13-17.. ISSN 24733660 ISBN 9781509026036

	PDF Big Data Prediction Framework for Weather Temperature Based on MapReduce Algorithm.pdf - Published Version Restricted to Repository staff only Download (402kB) | Request a copy
Preview	PDF (Big Data Prediction Framework for Weather Temperature Based on MapReduce Algorithm) Big Data Prediction Framework for Weather Temperature Based on MapReduce Algorithm 1.pdf - Published Version Download (33kB) | Preview

Abstract

Weather is the most critical for human in many aspects of life. The study and knowledge of how weather Temperature evolves over time in some location or country in the world can be beneficial for several purposes. processing, Collecting and storing of huge amounts of weather data is necessary for accurate prediction of weather. Meteorological departments use different types of sensors such as temperature, humidity etc. to get the data. The sensors volume and velocity of data in each of the sensor make the data processing time consuming and complex. This project aims to build analytical Big Data prediction framework for weather temperature based on MapReduce algorithm.

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Big Data; MapReduce; Hadoop; Weather; Analytics; Temperature.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	09 Mar 2018 02:59
Last Modified:	21 May 2018 06:10
URI:	http://umpir.ump.edu.my/id/eprint/17558
Download Statistic:	View Download Statistics

Actions (login required)

View Item