Implementation of Parallel CASINO Algorithm Based on MapReduce
Li Zhang, Yijie Shi
Available Online November 2016.
- 10.2991/aiea-16.2016.19How to use a DOI?
- CASINO algorithm; MapReduce; Parallel computation; Hadoop.
In recent years, with the rapid development of social network, deeply analyzing and mining the social network users is of great significance in the area of information propagation and advertising, and there have been increasing research efforts on it. In this paper, we analyze the CASINO algorithm deeply and propose a parallel CASINO algorithm based on MapReduce, and then test the performance of the algorithm under different conditions. The experimental result shows that compared to CASINO, the parallel CASINO algorithm has a better performance and a faster speed.
- © 2016, 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 - Li Zhang AU - Yijie Shi PY - 2016/11 DA - 2016/11 TI - Implementation of Parallel CASINO Algorithm Based on MapReduce BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 104 EP - 109 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.19 DO - 10.2991/aiea-16.2016.19 ID - Zhang2016/11 ER -