| Finding sporadic rules using apriori-inverse YS Koh, N Rountree Pacific-Asia Conference on Knowledge Discovery and Data Mining, 97-106, 2005 | 149 | 2005 |
| 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 | 133 | 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 | 132 | 2014 |
| Rare Association Rule Mining: An Overview YS Koh, N Rountree Rare Association Rule Mining and Knowledge Discovery: Technologies for …, 2010 | 58 | 2010 |
| Detecting concept change in dynamic data streams R Pears, S Sakthithasan, YS Koh Machine Learning 97 (3), 259-293, 2014 | 52 | 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 | 36 | 2013 |
| RP-Tree: rare pattern tree mining S Tsang, YS Koh, G Dobbie International Conference on Data Warehousing and Knowledge Discovery, 277-288, 2011 | 34 | 2011 |
| 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 | 29 | 2014 |
| One pass concept change detection for data streams S Sakthithasan, R Pears, YS Koh Pacific-Asia conference on knowledge discovery and data mining, 461-472, 2013 | 28 | 2013 |
| Detecting volatility shift in data streams DTJ Huang, YS Koh, G Dobbie, R Pears 2014 IEEE International Conference on Data Mining, 863-868, 2014 | 27 | 2014 |
| Mining interesting imperfectly sporadic rules YS Koh, N Rountree, RA O’Keefe Knowledge and Information Systems 14 (2), 179-196, 2008 | 26 | 2008 |
| Finding non-coincidental sporadic rules using apriori-inverse YS Koh, N Rountree, R O’Keefe International Journal of Data Warehousing and Mining (IJDWM) 2 (2), 38-54, 2006 | 24 | 2006 |
| Unsupervised rare pattern mining: a survey YS Koh, SD Ravana ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 45, 2016 | 23 | 2016 |
| 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 | 22 | 2015 |
| 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 | 21 | 2014 |
| Cbdt: A concept based approach to data stream mining S Hoeglinger, R Pears, YS Koh Pacific-Asia Conference on Knowledge Discovery and Data Mining, 1006-1012, 2009 | 21 | 2009 |
| Attack detection in recommender systems based on target item analysis W Zhou, J Wen, YS Koh, S Alam, G Dobbie 2014 International Joint Conference on Neural Networks (IJCNN), 332-339, 2014 | 20 | 2014 |
| Valency based weighted association rule mining YS Koh, R Pears, W Yeap Pacific-Asia Conference on Knowledge Discovery and Data Mining, 274-285, 2010 | 20 | 2010 |
| Rare association rule mining via transaction clustering YS Koh, R Pears Proceedings of the 7th Australasian Data Mining Conference-Volume 87, 87-94, 2008 | 20 | 2008 |
| Drift detection using stream volatility DTJ Huang, YS Koh, G Dobbie, A Bifet Joint European conference on machine learning and knowledge discovery in …, 2015 | 18 | 2015 |
Gillian DobbieUniversity of AucklandVerified email at cs.auckland.ac.nz