Obserwuj
Xiaowei Xu
Xiaowei Xu
Professor of Information Science, University of Arkansas at Little Rock
Zweryfikowany adres z ualr.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
359431996
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
29592017
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
22191998
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
11642007
Frequent term-based text clustering
F Beil, M Ester, X Xu
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
8442002
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
6011998
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
5062004
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
kdd 96, 226-231, 1996
4681996
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
4082002
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
3481996
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
3391995
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
3372003
A database interface for clustering in large spatial databases
M Ester, HP Kriegel, X Xu
KDD, 94-99, 1995
2261995
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
2112013
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
1712020
A study of homophily on social media
H Bisgin, N Agarwal, X Xu
World Wide Web 15 (2), 213-232, 2012
1382012
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
1322011
Graph-based review spammer group detection
Z Wang, S Gu, X Zhao, X Xu
Knowledge and Information Systems 55, 571-597, 2018
1212018
Clustering for mining in large spatial databases
M Ester, HP Kriegel, J Sander, X Xu
KI 12 (1), 18-24, 1998
1211998
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
1152008
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