Analytics over big graphs is becoming a first-class challenge in database research, with fast-growing interest from both the academia and the industrial community. This problem arises in several application scenarios, ranging from social networks to largescale network systems, from knowledge discovery to cybersecurity, and so forth. Following this major trend, this paper explores actual state-of-the-art results in the area of analytics over big graphs and discusses open research issues and actual trends in such area.
Big graph analytics: The state of the art and future research agenda / Cuzzocrea, Alfredo Massimiliano; Song, Il Yeol. - STAMPA. - (2014), pp. 99-101. ( 17th ACM International Workshop on Data Warehousing and OLAP, DOLAP 2014 Shanghai, China November 3-7, 2014) [10.1145/2666158.2668454].
Big graph analytics: The state of the art and future research agenda
CUZZOCREA, Alfredo Massimiliano;
2014-01-01
Abstract
Analytics over big graphs is becoming a first-class challenge in database research, with fast-growing interest from both the academia and the industrial community. This problem arises in several application scenarios, ranging from social networks to largescale network systems, from knowledge discovery to cybersecurity, and so forth. Following this major trend, this paper explores actual state-of-the-art results in the area of analytics over big graphs and discusses open research issues and actual trends in such area.Pubblicazioni consigliate
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