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 | 19773 | 1996 |
PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes NY Yu, JR Wagner, MR Laird, G Melli, S Rey, R Lo, P Dao, SC Sahinalp, ... Bioinformatics 26 (13), 1608-1615, 2010 | 1624 | 2010 |
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 (2), 169-194, 1998 | 1533 | 1998 |
A matrix factorization technique with trust propagation for recommendation in social networks M Jamali, M Ester Proceedings of the fourth ACM conference on Recommender systems, 135-142, 2010 | 1312 | 2010 |
Density-based clustering over an evolving data stream with noise F Cao, M Estert, W Qian, A Zhou Proceedings of the 2006 SIAM international conference on data mining, 328-339, 2006 | 1062 | 2006 |
TrustWalker a random walk model for combining trust-based and item-based recommendation M Jamali, M Ester Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 1011 | 2009 |
PSORTb v. 2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis JL Gardy, MR Laird, F Chen, S Rey, CJ Walsh, M Ester, FSL Brinkman Bioinformatics 21 (5), 617-623, 2005 | 826 | 2005 |
Frequent term-based text clustering F Beil, M Ester, X Xu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 757 | 2002 |
Incremental generalization for mining in a data warehousing environment M Ester, R Wittmann International Conference on Extending Database Technology, 135-149, 1998 | 719 | 1998 |
Incremental generalization for mining in a data warehousing environment M Ester, R Wittmann International Conference on Extending Database Technology, 135-149, 1998 | 719 | 1998 |
Hierarchical document clustering using frequent itemsets BCM Fung, K Wang, M Ester Proceedings of the 2003 SIAM international conference on data mining, 59-70, 2003 | 629 | 2003 |
Collaborative denoising auto-encoders for top-n recommender systems Y Wu, C DuBois, AX Zheng, M Ester Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 520 | 2016 |
PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria JL Gardy, C Spencer, K Wang, M Ester, GE Tusnady, I Simon, S Hua, ... Nucleic acids research 31 (13), 3613-3617, 2003 | 483 | 2003 |
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 | 480 | 2017 |
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 | 453 | 1998 |
Spatial data mining: A database approach M Ester, HP Kriegel, J Sander International Symposium on Spatial Databases, 47-66, 1997 | 414 | 1997 |
Catching the best views of skyline: A semantic approach based on decisive subspaces J Pei, W Jin, M Ester, Y Tao Space (X, Y) 100 (4), 1, 2005 | 330 | 2005 |
Knowledge discovery in databases: Techniken und Anwendungen M Ester, J Sander Springer-Verlag, 2013 | 316 | 2013 |
Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification M Ester, HP Kriegel, X Xu International Symposium on Spatial Databases, 67-82, 1995 | 308 | 1995 |
Visual classification: an interactive approach to decision tree construction M Ankerst, C Elsen, M Ester, HP Kriegel Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 263 | 1999 |