Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Decision Analysis of the Weather Log By Hadoop

Authors
Hao Wu
Corresponding Author
Hao Wu
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.3How to use a DOI?
Keywords
Hadoop; MapReduce; Log; Decision Analysis
Abstract
The data mining ability on Hadoop is much more rapider than that of traditional method, and coding is much simpler. It is mainly to quickly analyze the weather log using the parallel processing on Hadoop. The system realizes the analysis and processing of the weather log, utilizing the Hadoop core technology of Hadoop distributed file system (HDFS) and the MapReduce operation framework. Combined with Java Web programming techniques and ideas, it forms the B/S structure system and utilizes the Highcharts plug-in to generate charts to display to the user. According to the data graph, the user can predict the temperature change and make decisions in the future. This function is perfect, and its graphical interface is good, which can improve the operability and the interactivity, so as to reduce the burden on the user. Its usage is more convenient and much faster, and the operating is much simpler. It can objectively show the results of the analysis directly.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Wu
PY  - 2016/10
DA  - 2016/10
TI  - Decision Analysis of the Weather Log By Hadoop
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 18
EP  - 26
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.3
DO  - https://doi.org/10.2991/ceie-16.2017.3
ID  - Wu2016/10
ER  -