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Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media
2014
International Conference on Information Systems
The explosive growth of user-contributed reviews in e-Commerce and online social network sites prompts for the design of novel big data analytics frameworks to cope with such a challenge. The main contributions of our research are twofold. First, we design a novel big data analytics framework that leverages distributed computing and streaming to efficiently process big social media data streams. Second, we apply the proposed framework that is underpinned by a novel parallel co-evolution genetic
dblp:conf/icis/ZhangLL14
fatcat:56ppl5oubjf6pnd4727jejufhe