Implementation of Parallel CASINO Algorithm Based on MapReduce

DOI

10.2991/aiea-16.2016.19How to use a DOI?

Keywords

CASINO algorithm; MapReduce; Parallel computation; Hadoop.

Abstract

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.

Copyright

© 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/).

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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  -