David Tse Jung Huang
David Tse Jung Huang
Department of Computer Science, The University of Auckland
Verified email at aucklanduni.ac.nz - Homepage
TitleCited byYear
Detecting volatility shift in data streams
DTJ Huang, YS Koh, G Dobbie, R Pears
2014 IEEE International Conference on Data Mining, 863-868, 2014
272014
Drift detection using stream volatility
DTJ Huang, YS Koh, G Dobbie, A Bifet
Joint European conference on machine learning and knowledge discovery iná…, 2015
182015
Rare pattern mining on data streams
D Huang, YS Koh, G Dobbie
International Conference on Data Warehousing and Knowledge Discovery, 303-314, 2012
142012
Detecting changes in rare patterns from data streams
DTJ Huang, YS Koh, G Dobbie, R Pears
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 437-448, 2014
62014
Tracking drift types in changing data streams
DTJ Huang, YS Koh, G Dobbie, R Pears
International Conference on Advanced Data Mining and Applications, 72-83, 2013
32013
Kernel-tree: mining frequent patterns in a data stream based on forecast support
DTJ Huang, YS Koh, G Dobbie, R Pears
Australasian Joint Conference on Artificial Intelligence, 614-625, 2012
12012
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle
DTJ Huang, YS Koh, G Dobbie
Australasian Conference on Data Mining, 318-330, 2018
2018
Volatility Drift Prediction for Transactional Data Streams
YS Koh, DTJ Huang, C Pearce, G Dobbie
2018 IEEE International Conference on Data Mining (ICDM), 1091-1096, 2018
2018
Change Mining and Analysis for Data Streams
DT Huang
PhD Thesis-University of Auckland, 2015
2015
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants
DTJ Huang, YS Koh, G Dobbie
Transactions on Large-Scale Data-and Knowledge-Centered Systems XXI, 140-160, 2015
2015
Drift Detector for Memory-Constrained Environments
TD Robinson, DTJ Huang, YS Koh, G Dobbie
International Conference on Data Warehousing and Knowledge Discovery, 414-425, 2014
2014
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Articles 1–11