| CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999 | 559 | 1999 |
| Anomaly detection in online social networks D Savage, X Zhang, X Yu, P Chou, Q Wang Social Networks 39, 62-70, 2014 | 260 | 2014 |
| Frontiers, challenges, and opportunities for information retrieval: Report from SWIRL 2012 the second strategic workshop on information retrieval in Lorne J Allan, B Croft, A Moffat, M Sanderson Acm sigir forum 46 (1), 2-32, 2012 | 185 | 2012 |
| Comments on "Data Mining Static Code Attributes to Learn Defect Predictors" H Zhang, X Zhang IEEE Transactions on Software Engineering 33 (9), 635-636, 2007 | 143 | 2007 |
| Abundance of intrinsically unstructured proteins in P. falciparum and other apicomplexan parasite proteomes ZP Feng, X Zhang, P Han, N Arora, RF Anders, RS Norton Molecular and biochemical parasitology 150 (2), 256-267, 2006 | 133 | 2006 |
| A probabilistic method for emerging topic tracking in microblog stream J Huang, M Peng, H Wang, J Cao, W Gao, X Zhang World Wide Web 20 (2), 325-350, 2017 | 130 | 2017 |
| Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets X Zhang, G Dong, R Kotagiri Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 96 | 2000 |
| Detection of opinion spam based on anomalous rating deviation D Savage, X Zhang, X Yu, P Chou, Q Wang Expert Systems with Applications 42 (22), 8650-8657, 2015 | 92 | 2015 |
| Predicting defective software components from code complexity measures H Zhang, X Zhang, M Gu 13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007 …, 2007 | 87 | 2007 |
| Irony detection via sentiment-based transfer learning S Zhang, X Zhang, J Chan, P Rosso Information Processing & Management 56 (5), 1633-1644, 2019 | 84 | 2019 |
| Commtrust: Computing multi-dimensional trust by mining e-commerce feedback comments X Zhang, L Cui, Y Wang IEEE Transactions on Knowledge and Data Engineering 26 (7), 1631-1643, 2014 | 80 | 2014 |
| KRNN: k rare-class nearest neighbour classification X Zhang, Y Li, R Kotagiri, L Wu, Z Tari, M Cheriet Pattern Recognition 62, 33-44, 2017 | 76 | 2017 |
| Efficient mining of high confidence association rules without support thresholds J Li, X Zhang, G Dong, K Ramamohanarao, Q Sun European Conference on Principles of Data Mining and Knowledge Discovery …, 1999 | 69 | 1999 |
| Improving k Nearest Neighbor with Exemplar Generalization for Imbalanced Classification Y Li, X Zhang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 321-332, 2011 | 66 | 2011 |
| Information-based classification by aggregating emerging patterns X Zhang, G Dong International Conference on Intelligent Data Engineering and Automated …, 2000 | 65 | 2000 |
| On the credibility perception of news on Twitter: Readers, topics and features SM Shariff, X Zhang, M Sanderson Computers in Human Behavior 75, 785-796, 2017 | 60 | 2017 |
| Twitter analytics: a big data management perspective O Goonetilleke, T Sellis, X Zhang, S Sathe ACM SIGKDD Explorations Newsletter 16 (1), 11-20, 2014 | 59 | 2014 |
| Discovering jumping emerging patterns and experiments on real datasets G Dong, J Li, X Zhang 9th International Database Conference on Heterogeneous and Internet Databases, 1999 | 50 | 1999 |
| Large-scale prediction of long disordered regions in proteins using random forests P Han, X Zhang, RS Norton, ZP Feng BMC bioinformatics 10 (1), 1-9, 2009 | 49 | 2009 |
| Method and apparatus for classification of data by aggregating emerging patterns G Dong, J Li, L Wong, X Zhang US Patent 6,507,843, 2003 | 44 | 2003 |
Mark SandersonSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
