| Efficient strategies for parallel mining class association rules D Nguyen, B Vo, B Le Expert Systems with Applications 41 (10), 4716-4729, 2014 | 39 | 2014 |
| A novel method for constrained class association rule mining D Nguyen, LTT Nguyen, B Vo, TP Hong Information Sciences 320, 107-125, 2015 | 32 | 2015 |
| CCAR: An efficient method for mining class association rules with itemset constraints D Nguyen, B Vo, B Le Engineering Applications of Artificial Intelligence 37, 115-124, 2015 | 28 | 2015 |
| Efficient mining of class association rules with the itemset constraint D Nguyen, LTT Nguyen, B Vo, W Pedrycz Knowledge-Based Systems 103, 73-88, 2016 | 23 | 2016 |
| Learning graph representation via frequent subgraphs D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung SDM, 306-314, 2018 | 16 | 2018 |
| Mining class-association rules with constraints D Nguyen, B Vo Knowledge and Systems Engineering, 307-318, 2014 | 13 | 2014 |
| Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung European Conference on Machine Learning and Principles and Practice of …, 2018 | 10 | 2018 |
| A parallel algorithm for frequent subgraph mining B Vo, D Nguyen, TL Nguyen Advanced Computational Methods for Knowledge Engineering, 163-173, 2015 | 9 | 2015 |
| Trans2vec: learning transaction embedding via items and frequent itemsets D Nguyen, TD Nguyen, W Luo, S Venkatesh Pacific-Asia Conference on Knowledge Discovery and Data Mining, 361-372, 2018 | 8 | 2018 |
| Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding D Nguyen, W Luo, S Venkatesh, D Phung Journal of Medical Systems 42 (5), 94, 2018 | 7 | 2018 |
| LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment D Nguyen, W Luo, D Phung, S Venkatesh Knowledge-Based Systems 161, 313-328, 2018 | 6 | 2018 |
| A Parallel Strategy for the Logical‐probabilistic Calculus‐based Method to Calculate Two‐terminal Reliability D Nguyen, B Vo, DL Vu Quality and Reliability Engineering International 32 (7), 2313–2327, 2016 | 6 | 2016 |
| Exceptional contrast set mining: moving beyond the deluge of the obvious D Nguyen, W Luo, D Phung, S Venkatesh Australasian Joint Conference on Artificial Intelligence, 455-468, 2016 | 4 | 2016 |
| Understanding toxicities and complications of cancer treatment: A data mining approach D Nguyen, W Luo, D Phung, S Venkatesh Australasian Joint Conference on Artificial Intelligence, 431-443, 2015 | 4 | 2015 |
| Bayesian optimization for categorical and category-specific continuous inputs D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5256-5263, 2020 | 3 | 2020 |
| Control Matching via Discharge Code Sequences D Nguyen, W Luo, D Phung, S Venkatesh NIPS 2016 Workshop on Machine Learning for Health, arXiv preprint arXiv:1612 …, 2016 | 3 | 2016 |
| DeepCoDA: personalized interpretability for compositional health data T Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh International Conference on Machine Learning, 7877-7886, 2020 | 2* | 2020 |
| A novel method for mining class association rules with itemset constraints D Nguyen, B Vo, B Le International Conference on Computational Collective Intelligence, 494-503, 2014 | 2 | 2014 |
| Bayesian optimization with discrete variables P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh Australasian Joint Conference on Artificial Intelligence, 473-484, 2019 | 1 | 2019 |
| Succinct contrast sets via false positive controlling with an application in clinical process redesign D Nguyen, W Luo, B Vo, W Pedrycz Expert Systems with Applications 161, 113670, 2020 | | 2020 |
Svetha VenkateshProfessor of Computer Science, Deakin Universitydeakin.edu.au üzerinde doğrulanmış e-posta adresine sahip
