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Using DynamoGraph: application scenarios for large-scale temporal graph processing.

, and . iiWAS, page 76:1-76:5. ACM, (2015)

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Using Big Data for Emotionally Intelligent Mobile Services through Multi-Modal Emotion Recognition., , , and . ICOST, volume 9102 of Lecture Notes in Computer Science, page 127-138. Springer, (2015)DynamoGraph: A Distributed System for Large-scale, Temporal Graph Processing, its Implementation and First Observations., and . WWW (Companion Volume), page 861-866. ACM, (2016)Making Computers Understand Coalition and Opposition in Parliamentary Democracy., , and . EGOV, volume 9820 of Lecture Notes in Computer Science, page 265-276. Springer, (2016)Using DynamoGraph: application scenarios for large-scale temporal graph processing., and . iiWAS, page 76:1-76:5. ACM, (2015)Building an on-demand virtual computing market in non-commercial communities., , and . SAC, page 351-356. ACM, (2013)Big Data in Large Scale Intelligent Smart City Installations., , , , and . iiWAS, page 428. ACM, (2013)Take a Penny, Leave a Penny - Scaling out to Off-premise Unused Cloud Resources., and . GI-Jahrestagung, volume P-220 of LNI, page 3063-3076. GI, (2013)Towards Cloud-Based Distributed Scaleable Processing over Large-Scale Temporal Graphs., and . WETICE, page 143-148. IEEE Computer Society, (2014)Platform for General-Purpose Distributed Data-Mining on Large Dynamic Graphs., and . WETICE, page 178-183. IEEE Computer Society, (2013)Global learning network analytics to enhance PLN understanding., and . iiWAS, page 193-197. ACM, (2017)