Workload characterization and prediction in the cloud: A multiple time series approach A Khan, X Yan, S Tao, N Anerousis Network Operations and Management Symposium (NOMS), 2012 IEEE, 1287-1294, 2012 | 393 | 2012 |
Towards effective partition management for large graphs S Yang, X Yan, B Zong, A Khan Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012 | 219 | 2012 |
Neighborhood based fast graph search in large networks A Khan, N Li, X Yan, Z Guan, S Chakraborty, S Tao Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 181 | 2011 |
Nema: Fast graph search with label similarity A Khan, Y Wu, CC Aggarwal, X Yan Proceedings of the VLDB Endowment 6 (3), 181-192, 2013 | 179 | 2013 |
Augmented Sketch: Faster and More Accurate Stream Processing P Roy, A Khan, G Alonso Proceedings of the 2016 ACM SIGMOD international conference on Management of …, 2016 | 172 | 2016 |
Querying knowledge Graphs By Example entity tuples N Jayaram, A Khan, C Li, X Yan, R Elmasri IEEE International Conference on Data Engineering (ICDE) 32, 1494 - 1495, 2016 | 157 | 2016 |
Querying knowledge graphs by example entity tuples N Jayaram, A Khan, C Li, X Yan, R Elmasri Knowledge and Data Engineering, IEEE Transactions on 27 (10), 2797-2811, 2015 | 157 | 2015 |
Undersea wireless sensor network for ocean pollution prevention A Khan, L Jenkins 2008 3rd International Conference on Communication Systems Software and …, 2008 | 86 | 2008 |
Measurements, analyses, and insights on the entire ethereum blockchain network XT Lee, A Khan, SS Gupta, YH Ong, X Liu The Web Conference, 2020 | 81 | 2020 |
Towards proximity pattern mining in large graphs A Khan, X Yan, KL Wu Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 78 | 2010 |
Inf2vec: Latent Representation Model for Social Influence Embedding S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee 2018 IEEE 34th International Conference on Data Engineering (ICDE), 941-952, 2018 | 76 | 2018 |
On flow authority discovery in social networks CC Aggarwal, A Khan, X Yan Proceedings of the 2011 SIAM International Conference on Data Mining, 522-533, 2011 | 70 | 2011 |
Distance-generalized core decomposition F Bonchi, A Khan, L Severini Proceedings of the 2019 International Conference on Management of Data, 1006 …, 2019 | 69 | 2019 |
Efficiently Embedding Dynamic Knowledge Graphs T Wu, A Khan, M Yong, G Qi, M Wang Knowledge-based Systems, 2022 | 68 | 2022 |
Fast Reliability Search in Uncertain Graphs A Khan, F Bonchi, A Gionis, F Gullo | 68 | 2014 |
A comparative analysis of DSRC and 802.11 over Vehicular Ad hoc Networks A Khan, S Sadhu, M Yeleswarapu Project Report, University of California, Santa Barbara, 1-8, 2009 | 68 | 2009 |
Temporal Analysis of the Entire Ethereum Blockchain Network L Zhao, S Sen Gupta, A Khan, R Luo The Web Conference, 2021 | 54 | 2021 |
Summarizing Static and Dynamic Big Graphs A Khan, SS Bhowmick, F Bonchi Proceedings of the VLDB Endowment 10 (12), 1981-1984, 2017 | 42 | 2017 |
Systems for big-graphs A Khan, S Elnikety Proceedings of the VLDB Endowment 7 (13), 1709-1710, 2014 | 41 | 2014 |
Revenue maximization by viral marketing: A social network host's perspective A Khan, B Zehnder, D Kossmann IEEE International Conference on Data Engineering (ICDE) 32, 37 - 48, 2016 | 40 | 2016 |