| ARSA: a sentiment-aware model for predicting sales performance using blogs Y Liu, X Huang, A An, X Yu Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 418 | 2007 |
| Modeling and predicting the helpfulness of online reviews Y Liu, X Huang, A An, X Yu 2008 Eighth IEEE international conference on data mining, 443-452, 2008 | 347 | 2008 |
| Mining online reviews for predicting sales performance: A case study in the movie domain X Yu, Y Liu, X Huang, A An IEEE Transactions on Knowledge and Data engineering 24 (4), 720-734, 2010 | 319 | 2010 |
| A roadmap of clustering algorithms: finding a match for a biomedical application B Andreopoulos, A An, X Wang, M Schroeder Briefings in bioinformatics 10 (3), 297-314, 2009 | 301 | 2009 |
| Discovering rules for water demand prediction: an enhanced rough-set approach A An, N Shan, C Chan, N Cercone, W Ziarko Engineering Applications of Artificial Intelligence 9 (6), 645-653, 1996 | 301 | 1996 |
| Discovering top-k teams of experts with/without a leader in social networks M Kargar, A An Proceedings of the 20th ACM international conference on Information and …, 2011 | 238 | 2011 |
| Boosting prediction accuracy on imbalanced datasets with SVM ensembles Y Liu, A An, X Huang Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006 | 215 | 2006 |
| Unsupervised emotion detection from text using semantic and syntactic relations A Agrawal, A An 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2012 | 206 | 2012 |
| Keyword search in graphs: finding r-cliques M Kargar, A An Proceedings of the VLDB Endowment 4 (10), 681-692, 2011 | 187 | 2011 |
| Combining integrated sampling with SVM ensembles for learning from imbalanced datasets Y Liu, X Yu, JX Huang, A An Information Processing & Management 47 (4), 617-631, 2011 | 181 | 2011 |
| Efficient bi-objective team formation in social networks M Kargar, A An, M Zihayat Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 144 | 2012 |
| Detection of malicious and non-malicious website visitors using unsupervised neural network learning D Stevanovic, N Vlajic, A An Applied Soft Computing 13 (1), 698-708, 2013 | 130 | 2013 |
| Dynamic web log session identification with statistical language models X Huang, F Peng, A An, D Schuurmans Journal of the American Society for Information Science and Technology 55 …, 2004 | 117 | 2004 |
| Rule quality measures for rule induction systems: Description and evaluation A An, N Cercone Computational Intelligence 17 (3), 409-424, 2001 | 111 | 2001 |
| Mining top-k high utility patterns over data streams M Zihayat, A An Information Sciences 285, 138-161, 2014 | 102 | 2014 |
| Feature evaluation for web crawler detection with data mining techniques D Stevanovic, A An, N Vlajic Expert Systems with Applications 39 (10), 8707-8717, 2012 | 100 | 2012 |
| Rule-induction and case-based reasoning: Hybrid architectures appear advantageous N Cercone, A An, C Chan IEEE Transactions on Knowledge and Data Engineering 11 (1), 166-174, 1999 | 95 | 1999 |
| dynnode2vec: Scalable dynamic network embedding S Mahdavi, S Khoshraftar, A An 2018 IEEE International Conference on Big Data (Big Data), 3762-3765, 2018 | 89 | 2018 |
| Finding affordable and collaborative teams from a network of experts M Kargar, M Zihayat, A An Proceedings of the 2013 SIAM international conference on data mining, 587-595, 2013 | 87 | 2013 |
| Rough sets, fuzzy sets, data mining and granular computing A An, J Stefanowski, S Ramanna, CJ Butz, W Pedrycz, G Wang Springer Berlin Heidelberg, 2007 | 81 | 2007 |
