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Titlebook: Big Data and Social Computing; 9th China National C Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan Conference proceedings 2024 The Editor(s) (if ap

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SCPM-R+ER: A R+ER-based Algorithm for Mining Spatial Co-location Patternss consume significant time and space in generating table instances. While methods leveraging cliques or maximal cliques have enhanced mining efficiency, the huge number of cliques still bring considerable challenges in terms of time and space. To address this issue and reduce the quantity of maximal
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A Weakly Supervised Method for Encrypted Traffic Classification in the Dark Web dark web. Most security protection software and probes are designed for identifying unencrypted traffic, and they cannot effectively classify encrypted traffic from the dark web due to its unique anonymity. Existing methods do not comprehensively consider the external statistical features and the i
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,Aufbau der Oxydhäute bzw. Deckschichten, Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and issuing security alerts promptly. Most intrusion detection research in recent years has been directed towards the pair of traffic itself without considering the interrelationships among them,
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