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EnglishAnalytics 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.
| Titolo: | Big graph analytics: The state of the art and future research agenda | |
| Autori: | ||
| Data di pubblicazione: | 2014 | |
| 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. | |
| Handle: | http://hdl.handle.net/11368/2896397 | |
| ISBN: | 9781450309998 9781450309998 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti Convegno (Proceeding) |
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