| A survey of sequential pattern mining P Fournier-Viger, JCW Lin, RU Kiran, YS Koh, R Thomas Data Science and Pattern Recognition 1 (1), 54-77, 2017 | 727 | 2017 |
| Research on particle swarm optimization based clustering: a systematic review of literature and techniques S Alam, G Dobbie, YS Koh, P Riddle, SU Rehman Swarm and Evolutionary Computation 17, 1-13, 2014 | 274 | 2014 |
| Finding sporadic rules using apriori-inverse YS Koh, N Rountree Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005 | 207 | 2005 |
| Detecting concept change in dynamic data streams: A sequential approach based on reservoir sampling R Pears, S Sakthithasan, YS Koh Machine Learning 97, 259-293, 2014 | 130 | 2014 |
| Detecting volatility shift in data streams DTJ Huang, YS Koh, G Dobbie, R Pears 2014 IEEE International Conference on Data Mining, 863-868, 2014 | 99 | 2014 |
| Unsupervised rare pattern mining: a survey YS Koh, SD Ravana ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 1-29, 2016 | 79 | 2016 |
| Rp-tree: rare pattern tree mining S Tsang, YS Koh, G Dobbie Data Warehousing and Knowledge Discovery: 13th International Conference …, 2011 | 79 | 2011 |
| Rare association rule mining and knowledge discovery: technologies for infrequent and critical event detection: Technologies for infrequent and critical event detection YS Koh, N Rountree IGI Global, 2009 | 76 | 2009 |
| Network embedding and change modeling in dynamic heterogeneous networks R Bian, YS Koh, G Dobbie, A Divoli Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 72 | 2019 |
| Mining local and peak high utility itemsets P Fournier-Viger, Y Zhang, JCW Lin, H Fujita, YS Koh Information Sciences 481, 344-367, 2019 | 70 | 2019 |
| Detecting online auction shilling frauds using supervised learning S Tsang, YS Koh, G Dobbie, S Alam Expert systems with applications 41 (6), 3027-3040, 2014 | 64 | 2014 |
| Weighted association rule mining via a graph based connectivity model R Pears, YS Koh, G Dobbie, W Yeap Information Sciences 218, 61-84, 2013 | 57 | 2013 |
| Shilling attacks detection in recommender systems based on target item analysis W Zhou, J Wen, YS Koh, Q Xiong, M Gao, G Dobbie, S Alam PloS one 10 (7), e0130968, 2015 | 56 | 2015 |
| mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets AY Peng, YS Koh, P Riddle Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 55 | 2017 |
| Detection of abnormal profiles on group attacks in recommender systems W Zhou, YS Koh, J Wen, S Alam, G Dobbie Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 54 | 2014 |
| One pass concept change detection for data streams S Sakthithasan, R Pears, YS Koh Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 52 | 2013 |
| Recurring Concept Meta-learning for Evolving Data Streams R Anderson, YS Koh, G Dobbie, A Bifet Expert Systems with Applications 138 (30 December 2019), 2019 | 51 | 2019 |
| Identifying Top-k Nodes in Social Networks: A Survey R Bian, YS Koh, G Dobbie, A Divoli ACM Computing Surveys (CSUR) 52 (1), 1-33, 2019 | 47 | 2019 |
| Drift detection using stream volatility DTJ Huang, YS Koh, G Dobbie, A Bifet Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 41 | 2015 |
| Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. A Keesing, YS Koh, M Witbrock Interspeech, 3415-3419, 2021 | 38 | 2021 |
Gillian DobbieUniversity of AucklandVerified email at cs.auckland.ac.nz
