Dr David Tse Jung Huang

Profile Image
Professional Teaching Fellow
Honorary, Academic

Research | Current

David's current research is focused on mining useful information from data streams, including tasks such as pattern mining, change detection, and volatility detection. He is specifically interested in looking at finding various stream and drift features like stream volatility (i.e. how quickly the streams change and to what extent). The discovery and usage of these features will improve the performance of current mining tasks on data streams.

Distinctions/Honours

Dean's List of Excellent Theses

Top 5 Theses Completed in the Faculty of Science 2015

Top 5% of Theses Completed University-Wide in 2015

Areas of expertise

  • Data Stream Mining
  • Change Detection
  • Frequent / Rare Pattern Mining

Committees/Professional groups/Services

PAKDD 2016 - Publicity and Website Chair

Selected publications and creative works (Research Outputs)

  • Huang, D. T. J., Koh, Y. S., & Dobbie, G. (2015). Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. TRANSACTIONS ON LARGE-SCALE DATA- AND KNOWLEDGE-CENTERED SYSTEMS XXI, 9260, 140-160. 10.1007/978-3-662-47804-2_7
    Other University of Auckland co-authors: Gill Dobbie, Yun Sing Koh
  • Huang, D. T. (2015). Change Mining and Analysis for Data Streams The University of Auckland. ResearchSpace@Auckland.
    URL: http://hdl.handle.net/2292/27746
  • Huang, D. T. J., Koh, Y. S., Dobbie, G., & Bifet, A. (2015). Drift Detection Using Stream Volatility. Paper presented at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, PORTUGAL. 7 September - 11 September 2015. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT I. (pp. 16). 10.1007/978-3-319-23528-8_26
    Other University of Auckland co-authors: Gill Dobbie, Yun Sing Koh
  • Huang, D. T. J., Koh, Y. S., Dobbie, G., & Pears, R. (2014). Detecting Volatility Shift in Data Streams. Paper presented at 14th IEEE International Conference on Data Mining (IEEE ICDM), Shenzhen, PEOPLES R CHINA. 14 December - 17 December 2014. 2014 IEEE International Conference on Data Mining (ICDM). (pp. 6). 10.1109/ICDM.2014.50
    Other University of Auckland co-authors: Yun Sing Koh, Gill Dobbie
  • Huang, D. T. J., Koh, Y. S., Dobbie, G., & Pears, R. (2014). Detecting Changes in Rare Patterns from Data Streams. Lecture Notes in Computer Science, 8444, 437-448. Tainan, Taiwan. 10.1007/978-3-319-06605-9_36
    Other University of Auckland co-authors: Gill Dobbie, Yun Sing Koh
  • Huang, D., Koh, Y., & Dobbie, G. (2012). Rare Pattern Mining on Data Streams. In A. Cuzzocrea, U. Dayal (Eds.) Data Warehousing and Knowledge Discovery: 14th International Conference, DaWaK 2012 (Lecture Notes in Computer Science vol 7448), 7448, 303-314. Vienna, Austria. 10.1007/978-3-642-32584-7_25
    Other University of Auckland co-authors: Gill Dobbie, Yun Sing Koh

Contact details

Alternative contact

dtjh@cs.auckland.ac.nz

Primary location

SCIENCE CENTRE 303 - Bldg 303
Level 5, Room 520
38 PRINCES ST
AUCKLAND 1010
New Zealand

Web links