Jörg Sander

	2009
51		Levi Lelis, Jörg Sander: Semi-supervised Density-Based Clustering. ICDM 2009: 842-847
50		Marios Fokaefs, Nikolaos Tsantalis, Alexander Chatzigeorgiou, Jörg Sander: Decomposing object-oriented class modules using an agglomerative clustering technique. ICSM 2009: 93-101
49		Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander: Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. 21(3): 299-326 (2009)
	2008
48		Gabriela Moise, Jörg Sander: Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. KDD 2008: 533-541
47		Viorica Botea, Daniel Mallett, Mario A. Nascimento, Jörg Sander: PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. GeoInformatica 12(2): 143-168 (2008)
46		Gabriela Moise, Jörg Sander, Martin Ester: Robust projected clustering. Knowl. Inf. Syst. 14(3): 273-298 (2008)
	2007
45		Alexandru Coman, Mario A. Nascimento, Jörg Sander: On Join Location in Sensor Networks. MDM 2007: 190-197
44		Samer Nassar, Jörg Sander: Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. SSDBM 2007: 30
43		Alexandru Coman, Jörg Sander, Mario A. Nascimento: Adaptive processing of historical spatial range queries in peer-to-peer sensor networks. Distributed and Parallel Databases 22(2-3): 133-163 (2007)
42		Jianjun Zhou, Jörg Sander, Guohui Lin: Efficient composite pattern finding from monad patterns. IJBRA 3(1): 86-99 (2007)
	2006
41		Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt: A Classification-Based Glioma Diffusion Model Using MRI Data. Canadian Conference on AI 2006: 98-109
40		Jianjun Zhou, Jörg Sander: Speedup Clustering with Hierarchical Ranking. ICDM 2006: 1205-1210
39		Gabriela Moise, Jörg Sander, Martin Ester: P3C: A Robust Projected Clustering Algorithm. ICDM 2006: 414-425
38		Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt: Learning a Classification-based Glioma Growth Model Using MRI Data. JCP 1(7): 21-31 (2006)
37		Gordon Robertson, Misha Bilenky, K. Lin, An He, W. Yuen, M. Dagpinar, Richard Varhol, Kevin Teague, Obi L. Griffith, X. Zhang, Y. Pan, Maik Hassel, Monica C. Sleumer, W. Pan, Erin Pleasance, M. Chuang, H. Hao, Yvonne Y. Li, Neil Robertson, C. Fjell, B. Li, Stephen Montgomery, Tamara Astakhova, Jianjun Zhou, Jörg Sander, Asim S. Siddiqui, Steven J. M. Jones: cisRED: a database system for genome-scale computational discovery of regulatory elements. Nucleic Acids Research 34(Database-Issue): 68-73 (2006)
	2005
36		Alexandru Coman, Mario A. Nascimento, Jörg Sander: Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. CIKM 2005: 187-194
35		Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner: Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. CVBIA 2005: 469-478
34		Alexandru Coman, Jörg Sander, Mario A. Nascimento: An Analysis of Spatio-Temporal Query Processing in Sensor Networks. ICDE Workshops 2005: 1190
33		Slobodan Rasetic, Jörg Sander, James Elding, Mario A. Nascimento: A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. VLDB 2005: 934-945
32		Jörg Sander, Raymond T. Ng, Monica C. Sleumer, Man Saint Yuen, Steven J. M. Jones: A methodology for analyzing SAGE libraries for cancer profiling. ACM Trans. Inf. Syst. 23(1): 35-60 (2005)
	2004
31		Jörg Sander, Mario A. Nascimento: Spatio-Temporal Database Management, 2nd International Workshop STDBM'04, Toronto, Canada, August 30, 2004 STDBM 2004
30		Alexandru Coman, Mario A. Nascimento, Jörg Sander: A framework for spatio-temporal query processing over wireless sensor networks. DMSN 2004: 104-110
29		Samer Nassar, Jörg Sander, Corrine Cheng: Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. SIGMOD Conference 2004: 467-478
	2003
28		Alexandru Coman, Jörg Sander, Mario A. Nascimento: Efficient Indexing of High Dimensional Normalized Histograms. DEXA 2003: 601-610
27		Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky: Automatic Extraction of Clusters from Hierarchical Clustering Representations. PAKDD 2003: 75-87
26		Jianjun Zhou, Jörg Sander: Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. VLDB 2003: 452-463
25		Gabriela Moise, Jörg Sander, Davood Rafiei: Focused Co-citation: Improving the Retrieval of Related Pages on the Web. WWW (Posters) 2003
24		Mario A. Nascimento, Jörg Sander, Jeffrey Pound: Analysis of SIGMOD's co-authorship graph. SIGMOD Record 32(3): 8-10 (2003)
	2001
23		Raymond T. Ng, Jörg Sander, Monica C. Sleumer: Hierarchical cluster analysis of SAGE data for cancer profiling. BIOKDD 2001: 65-72
22		Markus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander: Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. SIGMOD Conference 2001: 79-90
21		Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander: Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. IEEE Trans. Knowl. Data Eng. 13(1): 79-95 (2001)
	2000
20		Martin Ester, Jörg Sander: Knowledge Discovery in Databases - Techniken und Anwendungen Springer 2000
19		Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander: Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE 2000: 256-267
18		Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander: Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. ICDE 2000: 577-588
17		Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander: Fast Hierarchical Clustering Based on Compressed Data and OPTICS. PKDD 2000: 232-242
16		Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander: LOF: Identifying Density-Based Local Outliers. SIGMOD Conference 2000: 93-104
15		Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander: Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Min. Knowl. Discov. 4(2/3): 193-216 (2000)
	1999
14		Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander: Database Primitives for Spatial Data Mining. BTW 1999: 137-150
13		Martin Ester, Hans-Peter Kriegel, Jörg Sander: Knowledge Discovery in Spatial Databases. DAGM-Symposium 1999: 1-14
12		Martin Ester, Hans-Peter Kriegel, Jörg Sander: Knowledge Discovery in Spatial Databases. KI 1999: 61-74
11		Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander: OPTICS-OF: Identifying Local Outliers. PKDD 1999: 262-270
10		Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference 1999: 49-60
9		Jörg Sander: Generalized Density-Based Clustering for Spatial Data Mining (Abstract). Datenbank Rundbrief 24: 73 (1999)
	1998
8		Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander: A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE 1998: 324-331
7		Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander: Algorithms for Characterization and Trend Detection in Spatial Databases. KDD 1998: 44-50
6		Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu: Incremental Clustering for Mining in a Data Warehousing Environment. VLDB 1998: 323-333
5		Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Min. Knowl. Discov. 2(2): 169-194 (1998)
4		Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: Clustering for Mining in Large Spatial Databases. KI 12(1): 18-24 (1998)
	1997
3		Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD 1997: 10-15
2		Martin Ester, Hans-Peter Kriegel, Jörg Sander: Spatial Data Mining: A Database Approach. SSD 1997: 47-66
	1996
1		Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD 1996: 226-231

Coauthor Index

1	Mihael Ankerst	[10]
2	Tamara Astakhova	[37]
3	Stefan Berchtold	[18]
4	Misha Bilenky	[37]
5	Aalo Bistritz	[35]
6	Christian Böhm	[18]
7	Viorica Botea	[47]
8	Bernhard Braunmüller	[19] [21]
9	Markus M. Breunig	[10] [11] [16] [17] [22]
10	Alexander Chatzigeorgiou	[50]
11	Corrine Cheng	[29]
12	M. Chuang	[37]
13	Alexandru Coman	[28] [30] [34] [36] [43] [45]
14	M. Dagpinar	[37]
15	James Elding	[33]
16	Martin Ester	[1] [2] [3] [4] [5] [6] [7] [8] [12] [13] [14] [15] [19] [20] [21] [39] [46]
17	C. Fjell	[37]
18	Marios Fokaefs	[50]
19	Alexander Frommelt	[7] [15]
20	Russell Greiner	[35] [38] [41]
21	Obi L. Griffith	[37]
22	Stefan Grundlach	[14]
23	H. Hao	[37]
24	Maik Hassel	[37]
25	An He	[37]
26	H. V. Jagadish	[18]
27	Steven J. M. Jones	[32] [37]
28	Alex Kovarsky	[27]
29	Hans-Peter Kriegel	[1] [2] [3] [4] [5] [6] [7] [8] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21] [22] [49]
30	Peer Kröger	[22] [49]
31	Chi-Hoon Lee	[35]
32	Levi Lelis	[51]
33	B. Li	[37]
34	Yvonne Y. Li	[37]
35	Guohui Lin (Guo-Hui Lin)	[42]
36	K. Lin	[37]
37	Zhiyong Lu	[27]
38	Daniel Mallett	[47]
39	Gabriela Moise	[25] [39] [46] [48] [49]
40	Stephen Montgomery	[37]
41	Marianne Morris	[38] [41]
42	Albert Murtha	[35] [38] [41]
43	Mario A. Nascimento	[24] [28] [30] [31] [33] [34] [36] [43] [45] [47]
44	Samer Nassar	[29] [44]
45	Raymond T. Ng	[11] [16] [23] [32]
46	Nan Niu	[27]
47	W. Pan	[37]
48	Y. Pan	[37]
49	Erin Pleasance	[37]
50	Jeffrey Pound	[24]
51	Xuejie Qin	[27]
52	Davood Rafiei	[25]
53	Slobodan Rasetic	[33]
54	Gordon Robertson	[37]
55	Neil Robertson	[37]
56	Mark Schmidt	[35] [38] [41]
57	Asim S. Siddiqui	[37]
58	Monica C. Sleumer	[23] [32] [37]
59	Kevin Teague	[37]
60	Nikolaos Tsantalis	[50]
61	Richard Varhol	[37]
62	Michael Wimmer	[6]
63	Xiaowei Xu	[1] [3] [4] [5] [6] [8]
64	Man Saint Yuen	[32]
65	W. Yuen	[37]
66	X. Zhang	[37]
67	Jianjun Zhou	[26] [37] [40] [42]
68	Arthur Zimek	[49]

Colors in the list of coauthors