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On the application of Big Data in future large-scale intelligent Smart City installations.

, , , , и . Int. J. Pervasive Comput. Commun., 10 (2): 168-182 (2014)

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Matthias Steinbauer

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Using DynamoGraph: application scenarios for large-scale temporal graph processing., и . iiWAS, стр. 76:1-76:5. ACM, (2015)Making Computers Understand Coalition and Opposition in Parliamentary Democracy., , и . EGOV, том 9820 из Lecture Notes in Computer Science, стр. 265-276. Springer, (2016)Big Data in Large Scale Intelligent Smart City Installations., , , , и . iiWAS, стр. 428. ACM, (2013)Building an on-demand virtual computing market in non-commercial communities., , и . SAC, стр. 351-356. ACM, (2013)Using Big Data for Emotionally Intelligent Mobile Services through Multi-Modal Emotion Recognition., , , и . ICOST, том 9102 из Lecture Notes in Computer Science, стр. 127-138. Springer, (2015)DynamoGraph: extending the Pregel paradigm for large-scale temporal graph processing., и . Int. J. Grid Util. Comput., 7 (2): 141-151 (2016)DynamoGraph: A Distributed System for Large-scale, Temporal Graph Processing, its Implementation and First Observations., и . WWW (Companion Volume), стр. 861-866. ACM, (2016)Towards Cloud-Based Distributed Scaleable Processing over Large-Scale Temporal Graphs., и . WETICE, стр. 143-148. IEEE Computer Society, (2014)Platform for General-Purpose Distributed Data-Mining on Large Dynamic Graphs., и . WETICE, стр. 178-183. IEEE Computer Society, (2013)Take a Penny, Leave a Penny - Scaling out to Off-premise Unused Cloud Resources., и . GI-Jahrestagung, том P-220 из LNI, стр. 3063-3076. GI, (2013)