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Correlation-Based Detection of Attribute Outliers
2007An outlier is an object that does not conform to the normal behavior of the data set. In data cleaning, outliers are identified for data noise reduction. In applications such as fraud detection, and stock market analysis, outliers suggest abnormal behavior requiring further investigation.
Judice L. Y. Koh +3 more
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Visual attribute detction for pedestrian detection
Multimedia Tools and Applications, 2016Attributes are expected to narrow down the semantic gap between low-level visual features and high-level semantic meanings. Such superiority motivates us to explore pedestrian attributes which has became a critical problem to boost image understanding and improve the performance of pedestrian detection, retrieval, re-identification, etc.
Jing Zhang 0038 +4 more
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Community Detection in Dynamic Attributed Graphs
2016Community detection is one of the most widely studied tasks in network analysis because community structures are ubiquitous across real-world networks. These real-world networks are often both attributed and dynamic in nature. In this paper, we propose a community detection algorithm for dynamic attributed graphs that, unlike existing community ...
Gonzalo A. Bello +3 more
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Attribute Reduction for Effective Intrusion Detection
2004Computer intrusion detection is to do with identifying computer activities that may compromise the integrity, confidentiality or the availability of an IT system. Anomaly Intrusion Detection Systems (IDSs) aim at distinguishing an abnormal activity from an ordinary one.
Fernando Godínez +2 more
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How Significant Attributes are in the Community Detection of Attributed Multiplex Networks
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023Junwei Cheng +4 more
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Change Detection in Dynamic Event Attributes
2022Jonas Cremerius, Mathias Weske
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Automatically Detecting and Attributing Indirect Quotations
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013Silvia Pareti +4 more
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From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods
IEEE Communications Surveys and Tutorials, 2018Vasilis Katos +2 more
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