| Enhancing effectiveness of outlier detections for low density patterns J Tang, Z Chen, AWC Fu, DW Cheung Advances in knowledge discovery and data mining: 6th Pacific-Asia conference …, 2002 | 869 | 2002 |
| A probabilistic approach to modeling and estimating the QoS of web-services-based workflows SY Hwang, H Wang, J Tang, J Srivastava Information Sciences 177 (23), 5484-5503, 2007 | 290 | 2007 |
| Mining N-most Interesting Itemsets A Wai-chee Fu, R Wang-wai Kwong, J Tang International symposium on methodologies for intelligent systems, 59-67, 2000 | 126 | 2000 |
| Capabilities of outlier detection schemes in large datasets, framework and methodologies J Tang, Z Chen, AW Fu, DW Cheung Knowledge and Information Systems 11, 45-84, 2007 | 115 | 2007 |
| A robust outlier detection scheme for large data sets J Tang Proc. 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2002 | 107 | 2002 |
| Ensemble detection model for IoT IDS A Alhowaide, I Alsmadi, J Tang Internet of Things 16, 100435, 2021 | 73 | 2021 |
| Mining exception instances to facilitate workflow exception handling SY Hwang, SF Ho, J Tang Proceedings. 6th International Conference on Advanced Systems for Advanced …, 1999 | 73 | 1999 |
| Consulting past exceptions to facilitate workflow exception handling SY Hwang, J Tang Decision support systems 37 (1), 49-69, 2004 | 66 | 2004 |
| A new approach for feature selection from microarray data based on mutual information J Tang, S Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (6 …, 2016 | 54 | 2016 |
| Using agents to improve security and convenience in mobile e-commerce J Tang, J Veijalainen Proceedings of the 34th Annual Hawaii International Conference on System …, 2001 | 43 | 2001 |
| Towards the design of real-time autonomous IoT NIDS A Alhowaide, I Alsmadi, J Tang Cluster Computing, 1-14, 2023 | 41 | 2023 |
| Using the machine learning approach to predict patient survival from high-dimensional survival data W Zhang, J Tang, N Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 38 | 2016 |
| PCA, Random-forest and pearson correlation for dimensionality reduction in IoT IDS A Alhowaide, I Alsmadi, J Tang 2020 IEEE International IOT, Electronics and Mechatronics Conference …, 2020 | 36 | 2020 |
| Distributed PIN verification scheme for improving security of mobile devices J Tang, V Terziyan, J Veijalainen Mobile Networks and Applications 8, 159-175, 2003 | 34 | 2003 |
| Hierarchical classification of documents with error control C Cheng, J Tang, A Wai-chee Fu, I King Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference …, 2001 | 31 | 2001 |
| Enforcing inter-task dependencies in transactional workflows J Tang, J Veijalainen VTT Technical Research Centre of Finland, 1995 | 30 | 1995 |
| On complementarity of cluster and outlier detection schemes Z Chen, AWC Fu, J Tang Data Warehousing and Knowledge Discovery: 5th International Conference …, 2003 | 29 | 2003 |
| Modeling and efficient mining of intentional knowledge of outliers Z Chen, J Tang, AWC Fu Seventh International Database Engineering and Applications Symposium, 2003 …, 2003 | 26 | 2003 |
| Transaction-oriented work-flow concepts in inter-organizational environments J Tang, J Veijalainen Proceedings of the fourth international conference on Information and …, 1995 | 26 | 1995 |
| A scheme to specify and implement ad-hoc recovery in workflow systems J Tang, SY Hwang Advances in Database Technology—EDBT'98: 6th International Conference on …, 1998 | 23 | 1998 |
Ada Wai-Chee FuChinese University of Hong KongZweryfikowany adres z cse.cuhk.edu.hk