Dr Yun Sing Koh

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Senior Lecturer

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)

  • 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., Fujita, H., & Koh, Y. S. (2018). Mining local high utility itemsets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-98812-2_41
  • Chen, J. (2018). Vehicle emission prediction using remote sensing data and machine learning techniques The University of Auckland. ResearchSpace@Auckland.
    URL: http://hdl.handle.net/2292/37484
    Other University of Auckland co-authors: Jason Chen, Gill Dobbie
  • Samimi, P., Ravana, S. D., Webber, W., & Koh, Y. S. (2017). Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments. INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 22 (1)
  • Benavides-Prado, D., Koh, Y., & Riddle, P. (2017). AccGenSVM: Selectively transferring from previous hypotheses. In C. Sierra (Ed.) Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 1440-1446. Melbourne, Australia.
    Other University of Auckland co-authors: Diana Benavides Prado, Patricia Riddle
  • Peng, A. Y., Koh, Y. S., & Riddle, P. (2017). mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-57529-2_16
    URL: http://hdl.handle.net/2292/38686
    Other University of Auckland co-authors: Patricia Riddle, Alex Peng
  • Samimi, P., Ravana, D., & Koh, Y. S. (2016). Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments. COMPUTERS IN HUMAN BEHAVIOR, 64, 793-804. 10.1016/j.chb.2016.07.058
  • Koh, Y. S. (2016). CD-TDS: Change detection in transactional data streams for frequent pattern mining. Proceedings of the International Joint Conference on Neural Networks. 10.1109/IJCNN.2016.7727383

Identifiers

Contact details

Primary office location

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

Web links