Kai Ming Ting

About Kai Ming Ting

Kai Ming Ting, With an exceptional h-index of 43 and a recent h-index of 32 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

A new distributional treatment for time series anomaly detection

Revisiting Streaming Anomaly Detection: Benchmark and Evaluation

Local Subsequence-Based Distribution for Time Series Clustering

Detecting Change Intervals with Isolation Distributional Kernel

Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval

Anomaly Detection Based on Isolation Mechanisms: A Survey

A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection

Kernel-based clustering via isolation distributional kernel

Kai Ming Ting Information

University

Position

___

Citations(all)

15716

Citations(since 2020)

10751

Cited By

8427

hIndex(all)

43

hIndex(since 2020)

32

i10Index(all)

101

i10Index(since 2020)

69

Email

University Profile Page

Google Scholar

Kai Ming Ting Skills & Research Interests

Machine Learning

Data Mining

Top articles of Kai Ming Ting

Title

Journal

Author(s)

Publication Date

A new distributional treatment for time series anomaly detection

The VLDB Journal

Kai Ming Ting

Zongyou Liu

Lei Gong

Hang Zhang

Ye Zhu

2024/2/15

Revisiting Streaming Anomaly Detection: Benchmark and Evaluation

Authorea Preprints

Yang Cao

Yixiao Ma

Ye Zhu

Kai Ming Ting

2024/2/11

Local Subsequence-Based Distribution for Time Series Clustering

Lei Gong

Hang Zhang

Zongyou Liu

Kai Ming Ting

Yang Cao

...

2024/4/25

Detecting Change Intervals with Isolation Distributional Kernel

Journal of Artificial Intelligence Research

Yang Cao

Ye Zhu

Kai Ming Ting

Flora D Salim

Hong Xian Li

...

2024/1/25

Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval

Yuanyi Shang

Kai Ming Ting

Zijing Wang

Yufan Wang

2024/4/25

Anomaly Detection Based on Isolation Mechanisms: A Survey

arXiv preprint arXiv:2403.10802

Yang Cao

Haolong Xiang

Hang Zhang

Ye Zhu

Kai Ming Ting

2024/4

A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection

arXiv preprint arXiv:2301.00393

Yufan Wang

Kai Ming Ting

Yuanyi Shang

2023/1/1

Kernel-based clustering via isolation distributional kernel

Information Systems

Ye Zhu

Kai Ming Ting

2023/7/1

The impact of isolation kernel on agglomerative hierarchical clustering algorithms

Pattern Recognition

Xin Han

Ye Zhu

Kai Ming Ting

Gang Li

2023/7

Towards a persistence diagram that is robust to noise and varied densities

Hang Zhang

Kaifeng Zhang

Kai Ming Ting

Ye Zhu

2023/6/15

Isolation kernel estimators

Knowledge and Information Systems

Kai Ming Ting

Takashi Washio

Jonathan Wells

Hang Zhang

Ye Zhu

2023/2

Distribution-Based Trajectory Clustering

Zi Jing Wang

Ye Zhu

Kai Ming Ting

2023/12/1

Subgraph centralization: a necessary step for graph anomaly detection

Zhong Zhuang

Kai Ming Ting

Guansong Pang

Shuaibin Song

2023

Point-set kernel clustering

IEEE Transactions on Knowledge and Data Engineering

Kai Ming Ting

Jonathan R Wells

Ye Zhu

2022/1/25

Streaming hierarchical clustering based on point-set kernel

KDD '22 Proceedings of the 28nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Xin Han

Ye Zhu

Kai Ming Ting

De-Chuan Zhan

Gang Li

2022/8/20

A new distributional treatment for time series and an anomaly detection investigation

Proceedings of the VLDB Endowment

Kai Ming Ting

Zongyou Liu

Hang Zhang

Ye Zhu

2022/9/10

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Information Systems

Ye Zhu

Kai Ming Ting

Yuan Jin

Maia Angelova

2021/8/28

Isolation distributional kernel: A new tool for point and group anomaly detections

IEEE Transactions on Knowledge and Data Engineering

Kai Ming Ting

Bi-Cun Xu

Takashi Washio

Zhi-Hua Zhou

2021/10/14

Reconstruction-based anomaly detection with completely random forest

Yi-Xuan Xu

Ming Pang

Ji Feng

Kai Ming Ting

Yuan Jiang

...

2021

Breaking the curse of dimensionality with Isolation Kernel

arXiv preprint arXiv:2109.14198

Kai Ming Ting

Takashi Washio

Ye Zhu

Yang Xu

2021/9/29

See List of Professors in Kai Ming Ting University(Nanjing University)

Co-Authors

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