Dr Yun Sing Koh

Research | Current

My current research interests include

  • Data Mining specifically Pattern Mining,
  • Data Stream Mining,
  • Machine Learning,
  • Information Retrieval.

 

Postgraduate supervision

Current PhD Supervision / Co-Supervision

Shuxiang Zhang (2018) Concept Drift Detection (co-supervised with Dr Pat Riddle)

Kylie Chen (2018) Towards a better understanding of diseases using semantic text mining (co-supervised with Dr Pat Riddle)

Alex (Yuxuan) Peng (2017) Deep Learning (co-supervised with Dr Pat Riddle)

Diana Benavides Prado (2016) - Meta Learning and Transfer Learning (co-supervised with Dr Pat Riddle)

Robert Anderson (2016) - Data Stream Mining (co-supervised with Prof Gill Dobbie)

Monica Bian (2015) - Social Network Mining (co-supervised with Prof Gill Dobbie)

Ian Wong (2016) - Feature Selection and Engineering (co-supervised with Prof Gill Dobbie)

Areas of expertise

Machine learning specifically in the area of unsupervised learning, data stream mining, and anomaly detection.

Selected publications and creative works (Research Outputs)

  • Fournier-Viger, P., Zhang, Y., Chun-Wei Lin, J., Fujita, H., & Koh, Y. S. (2019). Mining local and peak high utility itemsets. Information Sciences, 481, 344-367. 10.1016/j.ins.2018.12.070
  • Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Identifying top-k nodes in social networks: A survey. ACM Computing Surveys, 52 (1).10.1145/3301286
    Other University of Auckland co-authors: Gill Dobbie
  • Rajagopal, P., Ravana, S. D., Koh, Y. S., & Balakrishnan, V. (2019). Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment. ASLIB JOURNAL OF INFORMATION MANAGEMENT, 71 (1), 2-17. 10.1108/AJIM-04-2018-0086
  • Peng, A. Y., Sing Koh, Y., Riddle, P., & Pfahringer, B. (2019). Using supervised pretraining to improve generalization of neural networks on binary classification problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-10925-7_25
    Other University of Auckland co-authors: Alex Peng
  • Wong, I. S., Dobbie, G., & Koh, Y. S. (2019). Items2Data: Generating synthetic boolean datasets from itemsets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-12079-5_6
    Other University of Auckland co-authors: Gill Dobbie
  • Koh, Y. S., Huang, D. T. J., Pearce, C., & Dobbie, G. (2018). Volatility Drift Prediction for Transactional Data Streams. Proceedings - IEEE International Conference on Data Mining, ICDM. 10.1109/ICDM.2018.00140
    Other University of Auckland co-authors: David Huang, Gill Dobbie
  • Anderson, R., Koh, Y. S., & Dobbie, G. (2018). Predicting Concept Drift in Data Streams Using Metadata Clustering. Proceedings of the International Joint Conference on Neural Networks. 10.1109/IJCNN.2018.8489606
    Other University of Auckland co-authors: Gill Dobbie
  • Fournier-Viger, P., Zhang, Y., Lin, J. C. W., & Koh, Y. S. (2018). Discovering high utility change points in customer transaction data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-05090-0_33

Identifiers

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
Level 4, Room 485
38 PRINCES ST
AUCKLAND 1010
New Zealand

Web links