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Titlebook: Advances in Data Science; Third International Leman Akoglu,Emilio Ferrara,Palanisamy Yogesh Conference proceedings 2019 Springer Nature Si

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期刊全稱Advances in Data Science
期刊簡(jiǎn)稱Third International
影響因子2023Leman Akoglu,Emilio Ferrara,Palanisamy Yogesh
視頻videohttp://file.papertrans.cn/148/147674/147674.mp4
學(xué)科分類Communications in Computer and Information Science
圖書(shū)封面Titlebook: Advances in Data Science; Third International  Leman Akoglu,Emilio Ferrara,Palanisamy Yogesh Conference proceedings 2019 Springer Nature Si
影響因子This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Advances in Data Science, ICIIT 2018, held in Chennai, India, in December 2018..The 11 full papers along with 4 short papers presented were carefully reviewed and selected from 74 submissions.The papers are organized in topical sections on?data science foundations, data management and processing technologies, data analytics and its applications..
Pindex Conference proceedings 2019
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R. R. Douglas,P. J. Hilton,F. Sigristlities poses a significant challenge on the identification of trustworthy cloud services. Existing service selection approaches lacks in trust-based evaluation in terms of compliance between the service provision and the user requirements mentioned in the Service Level Agreements (SLAs), which resul
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https://doi.org/10.1007/978-981-13-4818-1g the nature of an attacker. Understanding the behaviour of an attacker remains one of the most important aspect of threat analysis, much work has been focused on the detection of concrete network attacks using Intrusion Detection System to raise an alert which subsequently requires human attention.
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Simon C. Groen,Noah K. Whitemanicant breakthrough due to limitations in image processing algorithms to satisfy all the real-life scenarios such an illumination, moving cars, background etc. This paper presents a robust and efficient ALPR system using a combination of the ‘You only Look Once’ (YOLO) neural network architecture and
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D. Sathya Prabhu,V. Devi Rajeswariocial media platforms to express ineffable feelings and facilitate an intimate conversation. The extent of its popularity can be gauged from the growing number of emojis in upcoming Emoji version. However, prior works on emoji prediction have majorly emphasized semantic relatedness. In this paper, w
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