Decision Analysis of the Weather Log By Hadoop
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.3How to use a DOI?
- Hadoop; MapReduce; Log; Decision Analysis
- 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.
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 -