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Subject
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Backward Interpolation 1 Bidirectional Fuzzy Rule Interpolation 1 Big Data 1 Fuzzy Logic 1 Fuzzy Rule Interpolation 1 Missing Antecedents 1 Resilient Distributed Dataset 1 Resilient State Table 1 Spark 1 Stateful Data Analytics 1 Terrorism Risk Assessment 1 Transformation-Based Interpolation 1
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Undetermined 2
Type of publication
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Article 2
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English 2
Author
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Ge, Jike 2 Peng, Jun 2 Chen, Guorong 1 Chen, Zuqin 1 He, Wenbo 1 Jin, Shangzhu 1 Liu, Can 1
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International Journal of Software Science and Computational Intelligence (IJSSCI) 2
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Other ZBW resources 2
Showing 1 - 2 of 2
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A Fine-Grained Stateful Data Analytics Method Based on Resilient State Table
Peng, Jun; Ge, Jike; He, Wenbo; Chen, Zuqin; Liu, Can; … - In: International Journal of Software Science and … 10 (2018) 2, pp. 66-79
This article describes how stateful data analytic frameworks have emerged to provide fresh and low-latency results for big data processing. At present, it is desired to achieve the fine-grained data model in Spark data processing framework. However, Spark adopts coarse-grained data model in...
Persistent link: https://www.econbiz.de/10012048063
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Cover Image
A New Fuzzy Rule Interpolation Approach to Terrorism Risk Assessment
Jin, Shangzhu; Peng, Jun; Ge, Jike - In: International Journal of Software Science and … 9 (2017) 3, pp. 16-36
Terrorist attacks launched by extremist groups or individuals have caused catastrophic consequences worldwide. Terrorism risk assessment therefore plays a crucial role in national and international security. Fuzzy reasoning based terrorism risk assessment systems offer a significant potential of...
Persistent link: https://www.econbiz.de/10012048045
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