A density-based algorithm for discovering clusters in large spatial databases with noise M Ester, HP Kriegel, J Sander, X Xu kdd 96 (34), 226-231, 1996 | 33415 | 1996 |
DBSCAN revisited, revisited: why and how you should (still) use DBSCAN E Schubert, J Sander, M Ester, HP Kriegel, X Xu ACM Transactions on Database Systems (TODS) 42 (3), 1-21, 2017 | 2475 | 2017 |
Density-based clustering in spatial databases: The algorithm gdbscan and its applications J Sander, M Ester, HP Kriegel, X Xu Data mining and knowledge discovery 2, 169-194, 1998 | 2130 | 1998 |
Scan: a structural clustering algorithm for networks X Xu, N Yuruk, Z Feng, TAJ Schweiger Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 1130 | 2007 |
Frequent term-based text clustering F Beil, M Ester, X Xu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 838 | 2002 |
A distribution-based clustering algorithm for mining in large spatial databases X Xu, M Ester, HP Kriegel, J Sander Proceedings 14th International Conference on Data Engineering, 324-331, 1998 | 596 | 1998 |
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96) M Ester, HP Kriegel, J Sander, X Xu, E Simoudis, J Han, U Fayyad A density‐based algorithm for discovering clusters in large spatial …, 1996 | 516 | 1996 |
Probabilistic memory-based collaborative filtering K Yu, A Schwaighofer, V Tresp, X Xu, HP Kriegel IEEE Transactions on Knowledge and Data Engineering 16 (1), 56-69, 2004 | 502 | 2004 |
A fast parallel clustering algorithm for large spatial databases X Xu, J Jäger, HP Kriegel High Performance Data Mining: Scaling Algorithms, Applications and Systems …, 2002 | 403 | 2002 |
Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification M Ester, HP Kriegel, X Xu Advances in Spatial Databases: 4th International Symposium, SSD'95 Portland …, 1995 | 340 | 1995 |
Representative sampling for text classification using support vector machines Z Xu, K Yu, V Tresp, X Xu, J Wang Advances in Information Retrieval: 25th European Conference on IR Research …, 2003 | 329 | 2003 |
Density-based spatial clustering of applications with noise M Ester, HP Kriegel, J Sander, X Xu Int. Conf. Knowledge Discovery and Data Mining 240, 1996 | 298 | 1996 |
A database interface for clustering in large spatial databases M Ester, HP Kriegel, X Xu KDD, 94-99, 1995 | 223 | 1995 |
In silico drug repositioning–what we need to know Z Liu, H Fang, K Reagan, X Xu, DL Mendrick, W Slikker Jr, W Tong Drug discovery today 18 (3-4), 110-115, 2013 | 203 | 2013 |
What can be transferred: Unsupervised domain adaptation for endoscopic lesions segmentation J Dong, Y Cong, G Sun, B Zhong, X Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 162 | 2020 |
Mining FDA drug labels using an unsupervised learning technique-topic modeling H Bisgin, Z Liu, H Fang, X Xu, W Tong BMC bioinformatics 12, 1-8, 2011 | 129 | 2011 |
A study of homophily on social media H Bisgin, N Agarwal, X Xu World Wide Web 15 (2), 213-232, 2012 | 126 | 2012 |
Graph-based review spammer group detection Z Wang, S Gu, X Zhao, X Xu Knowledge and Information Systems 55, 571-597, 2018 | 119 | 2018 |
Clustering for mining in large spatial databases M Ester, HP Kriegel, J Sander, X Xu KI 12 (1), 18-24, 1998 | 117 | 1998 |
A structural approach for finding functional modules from large biological networks M Mete, F Tang, X Xu, N Yuruk Bmc Bioinformatics 9, 1-14, 2008 | 114 | 2008 |