Conference proceeding
Big Graph Analytics: The State of the Art and Future Research Agenda
Proceedings of the 17th International Workshop on data warehousing and olap, pp 99-101
07 Nov 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 large-scale 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.
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63 citations in Scopus
Details
- Title
- Big Graph Analytics
- Creators
- Alfredo Cuzzocrea - University of CalabriaIl-Yeol Song - Drexel University
- Publication Details
- Proceedings of the 17th International Workshop on data warehousing and olap, pp 99-101
- Conference
- 17th International Workshop on data warehousing and olap, 17th
- Series
- DOLAP '14
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84951823770
- Other Identifier
- 991019184100404721