Titlebook: Big Data and Security; 5th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2024 The Editor(s) (if appli

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https://doi.org/10.1007/978-3-662-57763-9ing capabilities of deep learning, attribute graph clustering has emerged as a crucial method for dealing with complex network structures. In the field of network information security, a profound understanding and accurate classification of complex networks are particularly critical. In this article

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,Teilchengehärtete Legierungen, performance management, and will soon occupy a place in HR planning, training and development, and employee service, and will realize the high intelligence of HR service in the future. Therefore, this paper puts forward a demand forecasting model of HR professional structure based on DL. Firstly, B

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Malaise

A Three Layer Chinese Sentiment Polarity Detection Framework with Case Studydependencies, limiting their generality and scalability in real engineering projects. To address this issue, this paper introduces a Three Layer Chinese Sentiment Polarity Detection Framework (.). This framework decouples the final polarity detection from language processing by dividing the task int

ESPY

Big Data Intelligence Empowered Specialized Disciplines Development Pattern Recognition in Power Indlectual output is a key representation of discipline construction. We created an algorithm to identify development features of disciplines, including temporal trend, research hotspots, and mutation characteristics. Using CNKI as data source, with the aid of scientific knowledge graph and social netw

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清洗

A Clustering Method for Distribution Network Load Curve Based on Fast DDTWh, particularly when handling curve data with varying lengths and shapes. This paper suggests a load clustering approach based on the combination of the K-medoids and Fast DDTW clustering methods because the DDTW distance computation is too complicated. The user load curve‘s distance is computed usi

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Advances, Patterns and Future Potential of Big Data Technology Research for New Energy Sources and Ehis article explores the application of big data (BD) technologies in new energy power (NEP) and energy storage systems (ESS) in great depth. It also looks at how BD technology is now being used to grid management, electricity generation, and consumer usage. It presents development trends for the fu