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Titlebook: MDATA: A New Knowledge Representation Model; Theory, Methods and Yan Jia,Zhaoquan Gu,Aiping Li Book 2021 Springer Nature Switzerland AG 20

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發(fā)表于 2025-3-23 12:12:20 | 只看該作者
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發(fā)表于 2025-3-23 14:10:14 | 只看該作者
Knowledge Extraction: Automatic Classification of Matching Rules,satisfy users’ demands timely and accurately, and it is an urgent task to develop big search techniques in cyberspace. MDATA (Multi-dimensional Data Association and Intelligent Analysis) is a knowledge representation model with temporal and spatial characteristics. Through the effective expression o
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發(fā)表于 2025-3-24 10:12:07 | 只看該作者
Detection and Defense Methods of Cyber Attacks,al intelligence, many kinds of cyber attacks are emerging every day, causing severe consequences to society. Meanwhile, intelligent defense methods are proposed to detect these attacks. Such attack and defense methods are constantly being renovated. In particular, advanced persistent threats are int
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發(fā)表于 2025-3-24 10:44:53 | 只看該作者
A Distributed Framework for APT Attack Analysis,rmation security of these industries, spawned local area networks (LANs), intranets and so on. With the development of information sensor technology, the Internet of Things (IoT) that interconnects physical devices has emerged. As a unity of computing process and physical process, the Cyber-physical
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發(fā)表于 2025-3-24 18:46:36 | 只看該作者
Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks, performance. The innovation of DGCN mainly focuses on capturing the temporal features of unrest events. Inspired by the DGCN, we propose a new graph convolutional network model called Contextual Gated Graph Convolutional Network (CGGCN), which is adopted to predict and analyze social unrest events.
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發(fā)表于 2025-3-24 22:57:03 | 只看該作者
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