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Cluster Computing

Erschienen in:

01.12.2016

Event energy clustering and evaluation based on shock wave model

verfasst von: Di Shen, Lei Wang, Chengfan Li

Erschienen in: Cluster Computing | Ausgabe 4/2016

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Abstract

Frequent occurrence of various events has a tremendous impact on daily social life; and how to accurately evaluate the generated energy by an event is the spot in the event study. With the rapid development of the internet technology, the internet web has become a good platform for evaluating event’s energy. Based on the physical shock wave model was firstly introduced to evaluate the generated energy by an event in this paper, this paper proposed a new method that the shock wave model was used to cluster classify with track sequential information under an action of an event. The experimental results show that it has a good consistency between the generated energy by an event under the shock wave model and people’s behavior affected by an event, and the proposed energy evaluation method is correct and practical.

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Titel: Event energy clustering and evaluation based on shock wave model
verfasst von: Di Shen
Lei Wang
Chengfan Li
Publikationsdatum: 01.12.2016
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 4/2016
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-016-0627-0

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