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Monitoring and management of large scale applications is already a complex task because of syntactic and unstructured nature of execution data. Traditional application monitoring and management solutions focused on employing analysis techniques on unstructured and syntactic log information become limited as unstructured information cannot be well utilized to find out related events information or...
This paper presents for the first time decision fusion for multimodal biometric system using social network analysis (SNA). The main challenge in the design of biometric systems, at present, lies in unavailability of high-quality data to ensure consistently high recognition results. Resorting to multimodal biometric partially solves the problem, however, issues with dimensionality reduction, classifier...
One of the issues with using social networks for analysis is the problem of having missing nodes in the network. Having missing nodes can significantly impact the results of the analysis, and should be avoided as much as possible. For social network analysis to be more effective for criminal networks, where there are likely missing nodes, the number of missing nodes needs to be reduced. This research...
The application of social network analysis (SNA) and mining in health care domains has recently received a considerable attention for its key role in understanding how doctors form communities, and how they are socially connected with each other. This understanding helps enhance organizational structures and process flows. In this paper, we show how SNA techniques can solve issues in the medical referral...
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