Proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems 2017
DOI: 10.1145/3093742.3093916
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Considering Human Factors in the Development of Situation-Aware CEP Applications

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Cited by 2 publications
(3 citation statements)
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“…Researchers and practitioners are in common that human operators (or first-line managers) have a vital role in handling deviations: in anticipating, monitoring, responding, delegating and learning [7,8]. They are the most flexible integrators just when unexpected events need to be handled [9,10]. On the other hand, in this activity they need as a systematic and digitalized support as possible to record all relevant information, to find and configure appropriate resources for problem solving [3], and to escalating issues to higher levels of the management whenever shortage of resources or time requires it [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers and practitioners are in common that human operators (or first-line managers) have a vital role in handling deviations: in anticipating, monitoring, responding, delegating and learning [7,8]. They are the most flexible integrators just when unexpected events need to be handled [9,10]. On the other hand, in this activity they need as a systematic and digitalized support as possible to record all relevant information, to find and configure appropriate resources for problem solving [3], and to escalating issues to higher levels of the management whenever shortage of resources or time requires it [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Any data stream mining approach used for CEP systems must have a high degree of flexibility to adapt to the changes in situations of interest in near real-time [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…Hence, any data stream mining mechanism used for such a purpose must have a high degree of adaptation to the changes in situations of interest. Specifically, the process of rule mining must comply with event streaming constraints, i.e., the input events must be acquired in near real-time and with a single-scan mode to cope with the continuous arrival of data elements and to avoid data queuing [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%