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ICDSC' 2020: IEEE International Conference on Data Science in Cyberspace

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ICDSC'
Día de Entrega:
2020-05-17 Extended
Fecha de Notificación:
2020-06-23
Fecha de conferencia:
2020-07-27
Ubicación:
Hong Kong, China
Ediciones:
5
Vistas: 13932   Seguidores: 2   Asistentes: 0

Solicitud de Artículos

ICDSC' 2020 (IEEE International Conference on Data Science in Cyberspace) is an academic conference held in Hong Kong, China on 2020-07-27. The paper submission deadline is 2020-05-17 (extended). Acceptance notifications are sent on 2020-06-23.

Scope: The 5th IEEE International Conference on Data Science in Cyberspace (IEEE DSC) will be held in Hong Kong, China, June 24-27, 2020. Over the past four years, IEEE DSC has become one of the most important and attractive international conferences, mainly focusing on data science and its application in cyberspace. The conference will feature world-class speakers, workshops, demonstrations, exhibits, and innovative programs. Data Science, as a highly interdisciplinary field, is playing a more and more critical and central role in the development of cyberspace and various applications. Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing. Conference Areas: The IEEE International Conference on Data Science in Cyberspace (IEEE DSC) will bring together researchers and practitioners in the field of data science. IEEE DSC 2020 invites submissions on a wide spectrum of topics, including but not limited to the following areas: Data Science Big Data Data Intensive Applications in Cyberspace Data Intensive Systems Social Networks & Social Media Data Mining, Knowledge Discovery and Machine Learning Information Retrieval and Smart Search Cyberspace Security, Privacy and Trust Network Wisdom Data Security and Privacy
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