| Web service discovery with additional semantics and clustering R Nayak, B Lee IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), 555-558, 2007 | 213 | 2007 |
| Connecting users and items with weighted tags for personalized item recommendations H Liang, Y Xu, Y Li, R Nayak, X Tao Proceedings of the 21st ACM conference on Hypertext and hypermedia, 51-60, 2010 | 106 | 2010 |
| Element similarity measures in XML schema matching A Algergawy, R Nayak, G Saake Information Sciences 180 (24), 4975-4998, 2010 | 94 | 2010 |
| XML schema clustering with semantic and hierarchical similarity measures R Nayak, W Iryadi Knowledge-Based Systems 20 (4), 336-349, 2007 | 93 | 2007 |
| XML data clustering: An overview A Algergawy, M Mesiti, R Nayak, G Saake ACM Computing Surveys (CSUR) 43 (4), 1-41, 2011 | 91 | 2011 |
| Fast and effective clustering of XML data using structural information R Nayak Knowledge and Information Systems 14 (2), 197-215, 2008 | 89 | 2008 |
| Collaborative filtering recommender systems using tag information H Liang, Y Xu, Y Li, R Nayak 2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008 | 84 | 2008 |
| TAnoGAN: Time series anomaly detection with generative adversarial networks MA Bashar, R Nayak 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1778-1785, 2020 | 78 | 2020 |
| Data mining and XML documents R Nayak, R Witt, A Tonev Proceedings of the International Conference on Internet Computing, 660-666, 2002 | 76 | 2002 |
| Exploiting item taxonomy for solving cold-start problem in recommendation making LT Weng, Y Xu, Y Li, R Nayak 2008 20th IEEE International Conference on Tools with Artificial …, 2008 | 75 | 2008 |
| A study of space-time clustering in Hodgkin's disease in the Manchester region. MR Alderson, R Nayak British journal of preventive & social medicine 25 (3), 168, 1971 | 74 | 1971 |
| Artificial neural networks in biomedical engineering: a review R Nayak, LC Jain, BKH Ting Computational Mechanics–New Frontiers for the New Millennium, 887-892, 2001 | 65 | 2001 |
| Combining structure and content similarities for XML document clustering T Tran, R Nayak, P Bruza Proceedings of the Seventh Australasian Data Mining Conference, 79-86, 2008 | 64 | 2008 |
| A hybrid neural network and simulated annealing approach to the unit commitment problem R Nayak, JD Sharma Computers & Electrical Engineering 26 (6), 461-477, 2000 | 64 | 2000 |
| Analyzing the effectiveness of graph metrics for anomaly detection in online social networks R Hassanzadeh, R Nayak, D Stebila Web Information Systems Engineering-WISE 2012: 13th International Conference …, 2012 | 63 | 2012 |
| Mining world knowledge for analysis of search engine content JD King, Y Li, X Tao, R Nayak Web intelligence and agent systems: An international journal 5 (3), 233-253, 2007 | 63 | 2007 |
| Data mining in web services discovery and monitoring R Nayak International Journal of Web Services Research (IJWSR) 5 (1), 63-81, 2008 | 49 | 2008 |
| A people-to-people matching system using graph mining techniques S Kutty, R Nayak, L Chen World Wide Web 17, 311-349, 2014 | 48 | 2014 |
| Deep learning-based approaches for sentiment analysis B Agarwal, R Nayak, N Mittal, S Patnaik Springer, 2020 | 46 | 2020 |
| A progressive clustering algorithm to group the XML data by structural and semantic similarity R Nayak, T Tran International Journal of Pattern Recognition and Artificial Intelligence 21 …, 2007 | 46 | 2007 |
Md Abul BasharPostdoctoral Research Fellowqut.edu.au의 이메일 확인됨
