| Research Methods A Ram Rawat Publications, 2001 | 82 | 2001 |
| Detecting concept change in dynamic data streams R Pears, S Sakthithasan, YS Koh Machine Learning 97 (3), 259-293, 2014 | 57 | 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 | 38 | 2013 |
| Contextual relevance feedback in web information retrieval DK Limbu, A Connor, R Pears, S MacDonell Proceedings of the 1st International Conference on Information interaction …, 2006 | 38 | 2006 |
| Use of hoeffding trees in concept based data stream mining S Hoeglinger, R Pears 2007 Third International Conference on Information and Automation for …, 2007 | 32 | 2007 |
| Detecting volatility shift in data streams DTJ Huang, YS Koh, G Dobbie, R Pears 2014 IEEE International Conference on Data Mining, 863-868, 2014 | 31 | 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 | 30 | 2013 |
| Data stream mining for predicting software build outcomes using source code metrics J Finlay, R Pears, AM Connor Information and Software Technology 56 (2), 183-198, 2014 | 26 | 2014 |
| Multiple time-series prediction through multiple time-series relationships profiling and clustered recurring trends H Widiputra, R Pears, N Kasabov Pacific-asia conference on knowledge discovery and data mining, 161-172, 2011 | 26 | 2011 |
| Weighted association rule mining using particle swarm optimization R Pears, YS Koh Pacific-Asia Conference on Knowledge Discovery and Data Mining, 327-338, 2011 | 21 | 2011 |
| 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 |
| Rare association rule mining via transaction clustering YS Koh, R Pears Proceedings of the 7th Australasian Data Mining Conference-Volume 87, 87-94, 2008 | 21 | 2008 |
| 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 |
| Discovering diverse association rules from multidimensional schema M Usman, R Pears, ACM Fong Expert systems with applications 40 (15), 5975-5996, 2013 | 19 | 2013 |
| Automatic item weight generation for pattern mining and its application YS Koh, R Pears, G Dobbie International Journal of Data Warehousing and Mining (IJDWM) 7 (3), 30-49, 2011 | 17 | 2011 |
| Mining software metrics from Jazz J Finlay, A Connor, R Pears 2011 Ninth International Conference on Software Engineering Research …, 2011 | 16 | 2011 |
| Efficiently finding negative association rules without support threshold YS Koh, R Pears Australasian Joint Conference on Artificial Intelligence, 710-714, 2007 | 16 | 2007 |
| A data mining approach to knowledge discovery from multidimensional cube structures M Usman, R Pears, ACM Fong Knowledge-Based Systems 40, 36-49, 2013 | 15 | 2013 |
| Mining recurrent concepts in data streams using the discrete fourier transform S Sripirakas, R Pears International Conference on Data Warehousing and Knowledge Discovery, 439-451, 2014 | 14 | 2014 |
| Synthetic Minority over-sampling technique (SMOTE) for predicting software build outcomes R Pears, J Finlay, AM Connor arXiv preprint arXiv:1407.2330, 2014 | 14 | 2014 |
