Algorithm of Keywords Extraction about Power Documents Based on Hadoop
Tong Wang, Yongzhi Wang, Liang Jin, Yongheng Li
Available Online January 2017.
- 10.2991/icmmita-16.2016.201How to use a DOI?
- Big data; Hadoop; HBase; Keywords; Power documents
As the power big data is developing with a wide range of varieties, it is used to manage and analyze data, especially the unstructured data such as power documents. In this paper, HBase database and HDFS are applied to make the document searching easier and faster. Keywords extraction based on Hadoop is use to read the document in an easy way. Above all, it deserves management and design algorithm on keywords extraction based on Hadoop.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tong Wang AU - Yongzhi Wang AU - Liang Jin AU - Yongheng Li PY - 2017/01 DA - 2017/01 TI - Algorithm of Keywords Extraction about Power Documents Based on Hadoop BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.201 DO - 10.2991/icmmita-16.2016.201 ID - Wang2017/01 ER -