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Titlebook: Web Information Systems Engineering – WISE 2018; 19th International C Hakim Hacid,Wojciech Cellary,Rui Zhou Conference proceedings 2018 Spr

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楼主: 恶化
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Geographical Proximity Boosted Recommendation Algorithms for Real EstateExperimental results on a real-world data set show that our proposed real estate recommendation algorithms outperform the traditional methods. Sensitivity analysis is also carried out to demonstrate the effectiveness of our models.
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Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on tsure. Also, datasets with labels relevant to mental health scores, such as emotional scores, are also employed to improve the performance in prediction of mental health scores. This work introduces a deep neural network-based method integrating sub-networks on predicting affective scores and mental
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Knowledge-Driven Automated Web Service Composition—An EDA-Based Approachng knowledge for fully automated service composition that does not obeying a given workflow. In this paper, we proposed an EDA-based fully automated service composition approach to jointly optimize Quality of Semantic Matchmaking and Quality of Services. This approach is compared with a PSO-based ap
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A Framework for Processing Cumulative Frequency Queries over Medical Data Streamse. For data summarisation, we propose a hybrid approach that combines two data structures and exploits a classification algorithm to select the more efficient data structure for computing the cumulative frequency. For dynamic maintenance, we propose an incremental maintenance approach for updating t
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Knowledge-Driven Automated Web Service Composition—An EDA-Based Approachng knowledge for fully automated service composition that does not obeying a given workflow. In this paper, we proposed an EDA-based fully automated service composition approach to jointly optimize Quality of Semantic Matchmaking and Quality of Services. This approach is compared with a PSO-based ap
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LIFE-MP: Online Virtual Machine Consolidation with Multiple Resource Usages in Cloud Environments place the migrating VM, based on the PM with the lowest correlation coefficient value among the already-running VMs and the migrating VM to reduce performance degradation because of the VM migration. Comparative results show that the proposed approaches offer better performance with respect to a po
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LIFE-MP: Online Virtual Machine Consolidation with Multiple Resource Usages in Cloud Environments place the migrating VM, based on the PM with the lowest correlation coefficient value among the already-running VMs and the migrating VM to reduce performance degradation because of the VM migration. Comparative results show that the proposed approaches offer better performance with respect to a po
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