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Subgraph Centralization: A Necessary Step for Graph Anomaly Detection


Jan 17, 2023
Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song

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* To be published in SDM2023 

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A principled distributional approach to trajectory similarity measurement


Jan 01, 2023
Yufan Wang, Kai Ming Ting, Yuanyi Shang

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Detecting Change Intervals with Isolation Distributional Kernel


Dec 30, 2022
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li

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Breaking the curse of dimensionality with Isolation Kernel


Sep 29, 2021
Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu

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The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms


Oct 12, 2020
Xin Han, Ye Zhu, Kai Ming Ting, Gang Li

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Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection


Sep 24, 2020
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou

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* 14 pages 

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A new effective and efficient measure for outlying aspect mining


May 27, 2020
Durgesh Samariya, Sunil Aryal, Kai Ming Ting

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* Co-authors are not agree with submission of paper on arxiv 

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A Comprehensive Survey on Outlying Aspect Mining Methods


May 06, 2020
Durgesh Samariya, Jiangang Ma, Sunil Aryal, Kai Ming Ting

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* 12 Pages 

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