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Authors: Zhang, Hongwu | Kang, Kai | Bai, Wei

Article Type: Research Article

Abstract: In order to improve the accuracy of hierarchical network security situational awareness data fusion and shorten the fusion time, this paper proposes a hierarchical network security situational awareness data fusion method in cloud computing environment. The hierarchical model is established to obtain the hierarchical structure of data fusion. Hierarchical network security situational awareness data are collected and processed in parallel by cloud computing technology. According to the data collection results, the similarity between security events is calculated by using the clustering idea, and the similar security events are merged to achieve the purpose of removing redundant events. The hierarchical network …security situational awareness data is fused by grey relational analysis. Finally, the simulation results show that the accuracy of data fusion of this method is high, up to 98%, and the fusion time is short, the longest is 13 s. Compared with the comparison method, this method has a better performance, indicating that this method is suitable for data fusion of hierarchical network security situation awareness. Show more

Keywords: Cloud computing environment, hierarchical network, security situational awareness, data fusion, hierarchical model, grey correlation analysis, clustering thought

DOI: 10.3233/JCM-226542

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 237-251, 2023

Authors: Li, Yongjun | Wei, Jianshuang | Kang, Kai | Wu, Zhouyang

Article Type: Research Article

Abstract:  Aviation customer churn analysis is a difficult point, which has puzzled over airlines. The difficulties lie in the imbalance of customer churn data distribution and noisy data interference. Although some existing sampling techniques and ensemble models are good at dealing with class imbalance problem, noisy examples in dataset seriously affects the sampling quality and predictive accuracy of classifiers. Therefore, the purpose of our work is to effectively solve the problem of noise interference in imbalanced data classification and improve the effect of the ensemble classifier. In this paper, we propose a novel noise filtering algorithm that combined Tomek-link with distance …weighted KNN (TWK), which can effectively filter the noise from both minority and majority class in the imbalanced dataset and prevent relative value samples from being rejected by mistake. We integrate TWK and feature sampling into EasyEnsemble to get a new ensemble model, named FSEE-TWK for short, for customer churn analysis. The introduction of feature sampling to FSEE-TWK accelerate the process of training and avoid model over-fitting. We obtained imbalanced customer data from a major Chinese airline to predict potential churn customers. We use F-Measure and G-Mean to evaluate the performance of the new ensemble model. The experimental results show that the proposed model can effectively improve the classification of datasets and significantly reduce the training time of the model. Show more

Keywords: Aviation customer churn analysis, classification model, ensemble learning, noise filter, under-sampling

DOI: 10.3233/JIFS-182807

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2575-2585, 2019

Authors: Zhang, Jinjin | Hua, Xiang | Zhao, Peng | Kang, Kai

Article Type: Research Article

Abstract: Session-based recommendation aims at predicting the next behavior when the current interaction sequence is given. Recent advances evaluate the effectiveness of dual cross-domain information for the session-based recommendation. However, we discover that accurately modeling the session representations is still a challenging problem due to the complexity of preference interactions in the cross-domain, and various methods are proposed to only model the common features of cross-domain, while ignoring the specific features and enhanced features for the dual cross-domain. Without modeling the complete features, the existing methods suffer from poor recommendation accuracy. Therefore, we propose an end-to-end dual cross-domain with multi-channel interaction …model (DCMI), which utilizes dual cross-domain session information and multiple preference interaction encoders, for session-based recommendation. In DCMI, we apply a graph neural network to generate the session global preference and local preference. Then, we design a cross-preference interaction module to capture the common, specific, and enhanced features for cross-domain sessions with local preferences and global preferences. Finally, we combine multiple preferences with a bilinear fusion mechanism to characterize and make recommendations. Experimental results on the Amazon dataset demonstrate the superiority of the DCMI model over the state-of-the-art methods. Show more

Keywords: Session-based recommendation, dual cross-domain, cross-preference interaction module, bilinear fusion mechanism

DOI: 10.3233/AIC-230084

Citation: AI Communications, vol. 36, no. 4, pp. 341-359, 2023

Authors: Kang, Kai | Lin, Xu | Li, Cun | Hu, Jun | Hengeveld, Bart | Hummels, Caroline | Rauterberg, Matthias

Article Type: Research Article

Abstract: In the past decades, we have witnessed a proliferation of interactive public displays for advertisement, entertainment and exhibition. We believe they also have great potential in the public spaces of caring environments if supported by related knowledge of design and research. This study explores how to design and evaluate interactive public displays in caring environments with a case study. In this paper, we describe the design process of OutLook, which is part of an initial participatory system specially designed for nursing homes to explore the possibilities of connecting people. It aims to enhance nursing home residents’ social wellbeing through a …“look-outside” and a “postcard-sending” metaphor. A field trial was performed to assess the effects of OutLook on nursing home residents’ social behavior and feelings of connectedness. Key design factors for the effects and lessons learned were proposed as regard to design concept, design ideation, form of design, content, interfaces, interactions and field trial. Show more

Keywords: Interactive public display, nursing home, case study, ageing society, social interaction

DOI: 10.3233/AIS-180504

Citation: Journal of Ambient Intelligence and Smart Environments, vol. 10, no. 6, pp. 427-443, 2018