Publications

DBLP
Google Scholar

2018
Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie:
Volatility Drift Prediction for Transactional Data Streams. ICDM 2018: 1091-1096

David T.J. Huang, Yun Sing Koh, and Gillian Dobbie: Interpreting Intermittent Bugs in Mozilla Applications using Change Angle. AusDM Industry Track (Accepted – To Appear).

2016
David T.J. Huang and Gillian Dobbie: Precision Driven Health Context Review Report. Online. URL: http://www.precisiondrivenhealth.com/blog/news/precision-driven-health-context-review-report/

2015
David T.J. Huang: Change Mining and Analysis for Data Streams. Thesis. URL: http://hdl.handle.net/2292/27746

David T.J. Huang, Yun Sing Koh, Gillian Dobbie: Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. TLDKS (21): 140-160

David T.J. Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet: Drift Detection using Stream Volatility. ECML/PKDD (1): 417-432

2014
David T.J. Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Detecting Volatility Shift in Data Streams. ICDM: 863-868

David T.J. Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Detecting Changes in Rare Patterns from Data Streams. PAKDD (2): 437-448

Timothy D. Robinson, David T.J. Huang, Yun Sing Koh, Gillian Dobbie: Drift Detector for MemoryConstrained Environments. DaWaK: 414-425

2013
David T.J. Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Tracking Drift Types in Changing Data Streams. ADMA (1): 72-83

2012
David T.J. Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. Australasian Conference on Artificial Intelligence: 614-625

David T.J. Huang, Yun Sing Koh, Gillian Dobbie: Rare Pattern Mining on Data Streams. DaWaK: 303-314