Publications

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1. Mamoulis N., Seidl T., Pedersen T. B., Torp K., Assent I. (Eds.):
   Advances in Spatial and Temporal Databases - Proceedings of SSTD 2009
   Proceedings of the 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, July 8-10, 2009. Springer Verlag, Lecture Notes in Computer Sciences, Vol. 5644. (2009)
   [SSTD 2009] [Springer LNCS 5644]
   
   
2. Seidl T.:
   Nearest Neighbor Classification
   Liu L., Özsu M. T. (eds.): Encyclopedia of Database Systems. Springer. p. 1885-1890 (2009) (ISBN: 978-0-387-49616-0)
   [print+eReference] [print only]
   
   
3. Assent I., Krieger R., Welter P., Herbers J.,Seidl T.:
   Data Mining For Robust Flight Scheduling
   In: Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng Zhang (eds.): Data Mining for Business Applications. Springer 2009. p. 267-282 (2009)
   [Springer Link]
   
   
4. Kranen P., Seidl T.:
   Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
   Data Mining and Knowledge Discovery Journal (DMKD), Special Issue on Selected Papers from ECML PKDD 2009, Vol. 19, No. 2, p. 245-260 (Oct 2009) [DOI 10.1007/s10618-009-0139-0]
   [DMKD Journal]
   
   
5. Assent I., Wichterich M., Krieger R., Kremer H., Seidl T.:
   Anticipatory DTW for Efficient Similarity Search in Time Series Databases
   Proc. 35th International Conference on Very Large Data Bases (VLDB 2009), Lyon, France, PVLDB Journal, Vol. 2, No. 1, p. 826-837 (2009) (Core Database Technology track, acceptance rate 16.7%)
   [VLDB 2009] [Full Text PDF]
   
   
6. Müller E., Günnemann S., Assent I., Seidl T.:
   Evaluating Clustering in Subspace Projections of High Dimensional Data
   Proc. 35th International Conference on Very Large Data Bases (VLDB 2009), Lyon, France, PVLDB Journal, Vol. 2, No. 1, p. 1270-1281 (2009) (Experiments and Analyses track, acceptance rate 23.1%)
   [VLDB 2009] [Supplementary material] [Buy]
   
   
7. Kranen P., Assent I., Baldauf C., Seidl T.:
   Self-Adaptive Anytime Stream Clustering
   Proc. IEEE International Conference on Data Mining (ICDM 2009), Miami, USA (2009) (full paper acceptance rate 8.9%)
   [ICDM 2009]
   
   
8. Müller E., Assent I., Günnemann S., Krieger R., Seidl T.:
   Relevant Subspace Clustering: Mining the Most Interesting Non-Redundant Concepts in High Dimensional Data
   Proc. IEEE International Conference on Data Mining (ICDM 2009), Miami, USA (2009) (full paper acceptance rate 8.9%)
   [ICDM 2009] [Supplementary material]
   
   
9. Kranen P., Seidl T.:
   Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
   Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slowenia. (2009) The Paper has additionally been chosen for publication in the Data Mining and Knowledge Discovery Journal, ECML PKDD Special Issue (acceptance rate 3.3%).
   [ECML PKDD 2009]
   
   
10. Beecks C., Uysal M. S., Seidl T.:
    Signature Quadratic Form Distances for Content-Based Similarity
    Proc. 17th ACM International Conference on Multimedia (ACM-MM 2009), Beijing, China p. 697-700 (2009)
    [ACM Multimedia 2009]
    
    
11. Beecks C., Wiedenfeld S., Seidl T.:
    Cascading Components for Efficient Querying of Similarity-Based Visualizations
    IEEE Information Visualization Conference (IEEE InfoVis 2009) (Poster presentation) (2009)
    [IEEE VisWeek 2009]
    
    
12. Müller E., Assent I., Krieger R., Günnemann S., Seidl T.:
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces
    Proc. SIAM International Conference on Data Mining (SDM 2009), Sparks, Nevada, USA. p. 173-184 (2009) (full paper acceptance rate 15.6%)
    [SDM 2009]
    
    
13. Günnemann S., Müller E., Färber I., Seidl T.:
    Detection of Orthogonal Concepts in Subspaces of High Dimensional Data
    Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China (2009) (full paper acceptance rate 14.5%)
    [CIKM 2009]
    
    
14. Wichterich M., Beecks C., Sundermeyer M., Seidl T.:
    Exploring Multimedia Databases via Optimization-Based Relevance Feedback and the Earth Mover's Distance
    Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China. (2009) (Poster presentation, to appear)
    [CIKM 2009]
    
    
15. Seidl T., Assent I., Kranen P., Krieger R., Herrmann J.:
    Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams
    Proc. 12th International Conference on Extending Database Technology (EDBT/ICDT 2009), Saint-Petersburg, Russia. p. 311-322 (2009)
    [EDBT/ICDT 2009]
    
    
16. Ahmadi B., Hadjieleftheriou M., Seidl T., Srivastava D., Venkatasubramanian S.:
    Type-Based Categorization of Relational Attributes
    Proc. 12th International Conference on Extending Database Technology (EDBT/ICDT 2009), Saint-Petersburg, Russia. p. 84-95 (2009)
    [EDBT/ICDT 2009]
    
    
17. Müller E., Assent I., Seidl T.:
    HSM: Heterogeneous Subspace Mining in High Dimensional Data
    Proc. 21st International Conference on Scientific and Statistical Database Management (SSDBM 2009), New Orleans, Louisiana, USA p. 497-516 (2009)
    [SSDBM 2009]
    
    
18. Assent I., Kremer H.:
    Robust Adaptable Video Copy Detection
    Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD 2009), Aalborg, Denmark. (2009)
    [SSTD 2009]
    
    
19. Wang L., Oertel N., Müller E., Seidl T.:
    Counterfeit Detection by Extracting Rules from Product Traces
    Proc. 12th IASTED International Conference on Intelligent Systems and Control (ISC 2009), Cambridge, USA (2009)
    [IASTED ISC 2009]
    
    
20. Assent I., Günnemann S., Kremer H., Seidl T.:
    High-dimensional Indexing for Multimedia Features
    Proc. 13th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2009), Münster, Germany. Lecture Notes in Informatics (LNI P-144). p. 187-206 (2009)
    [BTW 2009] [Presentation]
    
    
21. Beecks C., Wichterich M., Seidl T.:
    Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken
    Proc. 13th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2009), Münster, Germany. Lecture Notes in Informatics (LNI P-144). p. 207-216 (2009)
    [BTW 2009] [Presentation]
    
    
22. Assent I.:
    Efficient adaptive retrieval and mining in large multimedia databases
    Proc. 13th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2009), Münster, Germany. Lecture Notes in Informatics (LNI P-144). p. 428-437 (2009)
    [BTW 2009]
    
    
23. Hassani M., Müller E., Seidl T.:
    EDISKCO: Energy Efficient Distributed In-Sensor-Network K-center Clustering with Outliers
    Proc. 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2009) in conjunction with 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France (2009)
    [SensorKDD 2009]
    
    
24. Kranen P.:
    Using Index Structures for Anytime Stream Mining
    PhD Workshop of the International Conference on Very Large Data Bases (VLDB 2009), Lyon, France (2009)
    [VLDB 2009]
    
    
25. Wichterich M., Beecks C., Sundermeyer M., Seidl T.:
    Relevance Feedback for the Earth Mover's Distance
    7th International Workshop on Adaptive Multimedia Retrieval (AMR 2009), Madrid, Spain. (2009)
    [AMR 2009] [PPTX Presentation]
    
    
26. Beecks C., Seidl T.:
    Visual Exploration of Large Multimedia Databases
    Data Management & Visual Analytics (VisMaster Workshop) in conjunction with EuroVis 2009, Berlin, Germany. (2009)
    [VisMaster @ EuroVis 2009] [VisMaster 2009]
    
    
27. Beecks C., Seidl T.:
    Efficient Content-Based Information Retrieval: A New Similarity Measure for Multimedia Data
    Symposium on Future Directions in Information Access (FDIA 2009) in conjunction with 7th European Summer School in Information Retrieval, Padua, Italy. (2009)
    [FDIA @ ESSIR 2009]
    
    
28. Müller E., Assent I., Günnemann S., Jansen T., Seidl T.:
    OpenSubspace: An Open Source Framework for Evaluation and Exploration of Subspace Clustering Algorithms in WEKA
    Proc. 1st Open Source in Data Mining Workshop (OSDM 2009) in conjunction with 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand p. 2-13 (2009)
    [OpenSubspace Project] [OSDM 2009]
    
    
29. Schiffer M., Müller E., Seidl T.:
    SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces
    Datenbank-Spektrum Vol. 9 Issue 29 p. 53-55 (2009) (BTW-Studierendenprogramm)
    [DB Spektrum]
    
    
30. Matthias Schiffer:
    SubRank: Ranking local outliers in projections of high-dimensional spaces
    Studierendenprogramm at the 13th GI-conference on Databases, Technology and Web (BTW 2009), Münster, Germany (2009)
    [BTW 2009 Studierendenprogramm]
    
    
31. Sergej Fries:
    Bestimmung des optimalen Verzweigungsgrades hierarchischer Anytime-Klassifikatoren
    Studierendenprogramm at the 13th GI-conference on Databases, Technology and Web (BTW 2009), Münster, Germany (2009) (ausgezeichnet als bester Beitrag im Studierendenprogramm der BTW 2009)
    [BTW 2009 Studierendenprogramm]
    
    
32. Ines Färber:
    Mining orthogonaler Konzepte in hochdimensionalen Datenbanken
    GI Informatiktage 27./28. März 2009 in Bonn (2009)
    [Informatiktage]
    
    

33. Krieger R.:
    Efficient density-based methods for knowledge discovery in databases
    Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University. (Aug 2008)
    [RWTH Bibliothek]
    
    
34. Brochhaus C.:
    Efficient indexing and view-dependent ranking in CFD databases
    Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University. (Jul 2008)
    [RWTH Bibliothek]
    
    
35. Assent I.:
    Efficient adaptive retrieval and mining in large multimedia databases
    Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University. (2008) (ausgezeichnet mit dem Dissertationspreis des GI-Fachbereichs Datenbanken und Informationssysteme auf der BTW 2009)
    [RWTH Bibliothek]
    
    
36. Seidl T., Enderle J.:
    Binäre Suche
    In: Vöcking B., Alt H., Dietzfelbinger M., Reischuk R., Scheideler C., Vollmer H., Wagner D. (Eds.): Taschenbuch der Algorithmen. Springer. p. 7-14 (2008)
    [Publisher]
    
    
37. Assent I., Krieger R., Glavic B., Seidl T.:
    Clustering Multidimensional Sequences in Spatial and Temporal Databases
    In: International Journal on Knowledge and Information Systems (KAIS) Vol. 16, Issue 1 p. 29-51 (Jul 2008)
    [KAIS] [DOI: 10.1007/s10115-007-0121-3]
    
    
38. Wichterich M., Assent I., Kranen P., Seidl T.:
    Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction
    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), Vancouver, BC, Canada. p. 199-212 (2008) (full paper acceptance rate 17.9%)
    © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the proceedings of the ACM SIGMOD International Conference on Management of Data, 2008. http://doi.acm.org/10.1145/1376616.1376639
    [SIGMOD 2008] [DOI: 10.1145/1376616.1376639] [PPT Presentation]
    
    
39. Assent I., Wichterich M., Meisen T., Seidl T.:
    Efficient Similarity Search Using the Earth Mover's Distance for Large Multimedia Databases
    Proc. IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico. p. 307-316 (2008) (full paper acceptance rate 19.3%)
    [ICDE 2008] [DOI: 10.1109/ICDE.2008.4497439]
    
    
40. Assent I., Krieger R., Müller E., Seidl T.:
    INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy
    Proc. IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy p. 719-724 (2008) (acceptance rate 20%)
    [ICDM 2008]
    
    
41. Assent I., Krieger R., Müller E., Seidl T.:
    EDSC: Efficient Density-Based Subspace Clustering
    Proc. ACM 17th Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, USA p. 1093-1102 (2008) (full paper acceptance rate 17%)
    [CIKM 2008]
    
    
42. Assent I., Krieger R., Afschari F., Seidl T.:
    The TS-Tree: Efficient Time Series Search and Retrieval
    Proc. 11th International Conference on Extending Data Base Technology (EDBT 2008), Nantes, France. p. 252-263 (2008)
    [EDBT 2008] [DOI: 10.1145/1353343.1353376]
    
    
43. Assent I., Krieger R., Welter P., Herbers J., Seidl T.:
    SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters
    Proc. 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Springer LNCS/LNAI, Osaka, Japan (2008)
    [PAKDD 2008] [DOI: 10.1007/978-3-540-68125-0_6]
    
    
44. Brochhaus C., Seidl T.:
    IndeGS^RI : Efficient View-dependent Ranking in CFD Post-processing Queries with RDBMS
    Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China p. 598-604 (2008)
    [SSDBM 2008] [Springer LNCS 5069]
    
    
45. Wichterich M., Beecks C., Seidl T.:
    Ranking Multimedia Databases via Relevance Feedback with History and Foresight Support
    Proc. 2nd International Workshop on Ranking in Databases (DBRank 2008) in conjunction with IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico p. 596-599 (2008)
    [ICDE 2008 Workshops] [DOI: 10.1109/ICDEW.2008.4498386] [PPTX Presentation]
    
    
46. Müller E., Assent I., Steinhausen U., Seidl T.:
    OutRank: ranking outliers in high dimensional data
    Proc. 2nd International Workshop on Ranking in Databases (DBRank 2008) in conjunction with IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico p. 600-603 (2008)
    [ICDE 2008 Workshops] [DOI: 10.1109/ICDEW.2008.4498387]
    
    
47. Meisen P., Seidl T., Henning K.:
    A Data-Mining Technique for the Planning and Organization of Truck Platoons
    Jacob B. et al. (eds.): International Conference on Heavy Vehicles (HVParis 2008), Heavy Vehicle Transport Technology. ISTE & Wiley. p. 389-402 (2008)
    [HVParis 2008]
    
    
48. Müller E., Assent I., Krieger R., Jansen T., Seidl T.:
    Morpheus: Interactive Exploration of Subspace Clustering
    Proc. 14th ACM SIGKDD International Conference on Knowledge Discovery in Databases (KDD 2008), Las Vegas, USA p. 1089-1092 (2008) (Demo)
    [KDD 2008]
    
    
49. Assent I., Müller E., Krieger R., Jansen T., Seidl T.:
    Pleiades: Subspace Clustering and Evaluation
    Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, Springer LNCS 5212. p. 666-671 (2008) (Demo)
    [ECML PKKD 2008] [Springer LNCS 5212]
    
    
50. Kranen P., Kensche D., Kim S., Zimmermann N., Müller E., Quix C., Li X., Gries T., Seidl T., Jarke M., Leonhardt S.:
    Mobile Mining and Information Management in HealthNet Scenarios
    Proceedings of the 9th IEEE MDM International Conference on Mobile Data Management (MDM 2008), Beijing, China p. 215-216 (2008) (Demo)
    [MDM 2008]
    
    
51. Müller E., Kranen P., Nett M., Reidl F., Seidl T.:
    A General Framework for Data Dissemination Simulation for Real World Scenarios
    Proceedings of the 14th ACM SIGMOBILE International Conference on Mobile Computing and Networking (MobiCom 2008), San Francisco, USA (2008) (Demo)
    [ACM MobiCom 2008]
    
    
52. Deserno T.M., Güld M.O., Plodowski B., Spitzer K., Wein B.B., Schubert H., Ney H., Seidl T.:
    Extended query refinement for medical image retrieval
    Journal of Digital Imaging 21(3): 280-289 (2008) - ISSN: 0897-1889 (Print), 1618-727X (Online). JDI 2008 Best Paper Award.
    [DOI: 10.1007/s10278-007-9037-4]
    
    
53. Ruau D., Kolarik C., Mevissen H.-T., Müller E., Assent I., Krieger R., Seidl T., Hofmann-Apitius M., Zenke M.:
    Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation
    BMC Bioinformatics 2008, 9(Suppl 10):O5 doi:10.1186/1471-2105-9-S10-O5 4th ISCB Student Council Symposium in conjunction with International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada (2008) (poster and oral presentation)
    [ISCB 2008] [ISMB 2008] [Buy]
    
    
54. Wichterich M., Beecks C., Seidl T.:
    History and Foresight for Distance-Based Relevance Feedback in Multimedia Databases
    Workshop on Future Directions in Multimedia Knowledge Management (MMKM 2008), Milton Keynes, United Kingdom (2008) (Poster presentation)
    [MMKM 2008] [Poster PDF]
    
    
55. Kim S., Leonhardt S., Zimmermann N., Kranen P., Kensche D., Müller E., Quix C.:
    Influence of contact pressure and moisture on the signal quality of a newly developed textile ECG sensor shirt
    5th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2008), Hong Kong, China (Jun 2008)
    [BSN 2008]
    
    
56. Assent I., Krieger R., Seidl T.:
    Evolutionäre Clustering-Algorithmen: Bionik-Methoden für Knowledge Discovery in Datenbanken
    RWTH Themen 1/2008: Bionik. (2008)
    [RWTH Themen]
    
    
57. Seidl T., Müller E., Assent I., Steinhausen U.:
    Outlier detection and ranking based on subspace clustering
    Dagstuhl Seminar 08421 on Uncertainty Management in Information Systems. (2008)
    [Dagstuhl seminar 08421] [paper at DROPS]
    
    

58. Kemper A., Schöning H., Rose T., Jarke M., Seidl T., Quix C., Brochhaus C. (Eds.):
    Proc. Datenbanksysteme in Business, Technologie und Web (BTW 2007)
    Tagungsband der 12. Fachtagung BTW des GI-Fachbereichs "Datenbanken und Informationssysteme", Aachen, Germany (Mar 2007)
    [BTW 2007]
    
    
59. Assent I., Krieger R., Müller E., Seidl T.:
    VISA: Visual Subspace Clustering Analysis
    ACM SIGKDD Explorations Special Issue on Visual Analytics, Vol. 9, Issue 2 p. 5-12 (Dec 2007)
    [SIGKDD Explorations] [Full Text PDF]
    
    
60. Zaki M.J., Peters M., Assent I., Seidl T.:
    Clicks: An effective algorithm for mining subspace clusters in categorical datasets
    Data & Knowledge Engineering (DKE) 60 (1) p. 51-70 (2007)
    [DKE] [Abstract]
    
    
61. Assent I., Seibert S.:
    An upper bound for transforming self-verifying automata into deterministic ones
    Theoretical Informatics and Applications 41(3) p. 261-265 (2007)
    [RAIRO: ITA] [issue]
    
    
62. Jarke M., Seidl T.:
    Mobilkommunikation im Jahr 2015: Neue Anwendungen brauchen neue Technologien
    RWTH Themen 1/2007: Exzellenzinitiative – Impulse für die Forschung p. 22-24 (2007)
    [RWTH Themen]
    
    
63. Assent I., Krieger R., Müller E., Seidl T.:
    DUSC: Dimensionality Unbiased Subspace Clustering
    Proc. IEEE International Conference on Data Mining (ICDM 2007), Omaha, Nebraska, USA p. 409-414 (2007) (acceptance rate 19%)
    [ICDM 2007] [Full Text PDF]
    
    
64. Brochhaus C., Seidl T.:
    Efficient Index Support for View-Dependent Queries on CFD Data
    Papadias D., Zhang D., Kollios G. (eds.): Advances in Spatial and Temporal Databases. Proc. 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, MA, USA. Springer LNCS 4605 p. 57-74 (2007)
    [SSTD 2007] [LNCS 4605]
    
    
65. Brochhaus C., Seidl T.:
    IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing
    Proc. 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria (Demo) p. 1354-1357 (2007)
    [VLDB 2007] [Full Text PDF]
    
    
66. Assent I., Krieger R., Seidl T.:
    AttentionAttractor: efficient video stream similarity query processing in real time
    Proc. IEEE 23rd International Conference on Data Engineering (ICDE 2007), Istanbul, Turkey (Demo) p. 1509 - 1510 (2007)
    [ICDE 2007] [Full Text PDF]
    
    
67. Assent I., Krieger R., Müller E., Steffens A., Seidl T.:
    Evolutionary Subspace Search in biologically-inspired Optimal Niches
    Proc. Annual Symposium on Nature inspired Smart Information Systems (NiSIS 2007), St Julians, Malta (2007)
    [Homepage]
    
    
68. Krieger R.:
    Nature inspired local pattern detection: new approaches to open data mining questions
    Proc. Workshop on Nature-inspired Methods for Local Pattern Detection (NiLOP 2007) in conjunction with NiSIS 2007, St. Julians, Malta (2007)
    
    
69. Müller E.:
    Density-based clustering in arbitrary subspaces
    Proc. Workshop on Nature-inspired Methods for Local Pattern Detection (NiLOP 2007) in conjunction with NiSIS 2007, St. Julians, Malta (2007)
    
    
70. Assent I.:
    Population dynamic coverage for subspace search
    Proc. Workshop on Nature-inspired Methods for Local Pattern Detection (NiLOP 2007) in conjunction with NiSIS 2007, St. Julians, Malta (2007)
    
    
71. Assent I., Krieger R., Müller E., Seidl T.:
    Removing Dimensionality Bias in Density-based Subspace Clustering
    Abstract in Dutch-Belgian Data Base Day (DBDBD 2007), Eindhoven, NL (Nov 2007)
    [DBDBD 2007] [abstract]
    
    
72. Aleksandrowicz A., Kensche D., Kim S., Kranen P., Müller E., Quix C.:
    Mobile and Wearable P2P Information Management in HEALTHNET Applications
    IEEE Benelux Chapter on Engineering in Medicine and Biology (EMB) (Dec 2007)
    
    
73. Assent I., Krieger R., Müller E., Seidl T.:
    Subspace outlier mining in large multimedia databases
    In: M. Berthold, K. Morik, A. Siebes(eds.): Parallel Universes and Local Patterns, Dagstuhl Seminar 07181 (2007)
    [Dagstuhl seminar homepage] [Dagstuhl DROPS Document]
    
    
74. Emmanuel Müller:
    Subspace Clustering für die Analyse von CGH Daten
    Studierendenprogramm at the 12th GI-conference on Databases, Technology and Web (BTW 2007), Aachen, Germany: 31-33 (2007)
    [BTW 2007] [BTW Studierendenprogramm]
    
    

75. Brochhaus C., Wichterich M., Seidl T.:
    Approximation Techniques to Enable Dimensionality Reduction for Voronoi-based Nearest Neighbor Search
    In Ioannidis Y. et al. (Eds.): Advances in Database Technology - Proc. 10th International Conference on Extending Data Base Technology (EDBT 2006), Munich, Germany. Springer LNCS 3896 p. 204-221 (Mar 2006) (acceptance rate 16%)
    [EDBT 2006] [LNCS 3896] [Full Text PDF]
    
    
76. Assent I., Wenning A., Seidl T.:
    Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
    Proc. IEEE International Conference on Data Engineering (ICDE 2006), Atlanta, Georgia, USA. (2006) (acceptance rate 19.5%)
    [ICDE 2006] [Full Text PDF]
    
    
77. Assent I., Krieger R., Glavic B., Seidl T.:
    Spatial Multidimensional Sequence Clustering
    Proc. 1st International Workshop on Spatial and Spatio-temporal Data Mining (SSTDM 2006) In conjunction with ICDM 2006, Hong Kong (Dec 2006)
    [SSTDM 2006] [PDF]
    
    
78. Jovic M., Hatakeyama Y., Dong F., Hirota K., Seidl T., Avdagic Z.:
    Fuzzy Multi-Resolution Image Similarity Modeling applied to Image Retrieval
    Joint 3rd International Conference on Soft Computing and Intelligent Systems and (SCIS 2006), 7th International Symposium on advanced Intelligent Systems (ISIS 2006), Tokyo Institute of Technology, Tokyo, Japan (Sep 2006)
    [Homepage]
    
    
79. Assent I., Krieger R., Steffens A., Seidl T.:
    A Novel Biology inspired Model for Evolutionary Subspace Clustering
    Proc. Annual Symposium on Nature inspired Smart Information Systems (NiSIS 2006), Puerto de la Cruz, Tenerife (Nov 2006)
    [Homepage]
    
    
80. Thies C., Schmitt Borreda M., Lehmann T., Seidl T.:
    A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images
    Int. Conference on Image Processing, part of the SPIE Symposium on Medical Imaging (MI 2006), 6144 (2006)
    [SPIE MI 2006] [pdf]
    
    
81. Kriegel H.-P., Kröger P., Pfeifle M., Brecheisen S., Pötke M., Schubert M., Seidl T.:
    Similarity Search for Voxelized CAD Objects
    In: Zongmin Ma (ed.): Database Modeling for Industrial Data Management: Emerging Technologies and Applications. Idea Group Inc. p. 115-147 (2006) ISBN: 1-59140-684-6 (Hard Cover), 1-59140-685-4 (Soft Cover)
    [publisher]
    
    
82. Assent I., Wichterich M., Seidl T.:
    Adaptable Distance Functions for Similarity-based Multimedia Retrieval
    Datenbank-Spektrum Nr. 19 p. 23-31 (2006)
    [DB Spektrum] [Full Text PDF]
    
    
83. Assent I., Bartusseck S., Glavic B., Krieger R., Nacken H., Seidl T., Sewilam H.:
    Clustering für Fließgewässer - Data Mining zur Entscheidungsunterstützung in der Hydrologie
    In RWTH Aachen: Informatik und Informationstechnik, RWTH Themen 2/2006. (2006)
    [RWTH Themen]
    
    
84. Brochhaus C., Wolter M.:
    IndeGS - Indexgestützter Grafikdatenserver
    In RWTH Aachen: Virtual Reality Center Aachen (VRCA), Jahresbericht 2005/2006 p. 72-74 (Oct 2006)
    [VRCA-Jahresbericht 2005/06]
    
    
85. Assent I.:
    Efficient similarity search and data mining in multimedia databases
    Proc. 6th Grace Hopper Celebration of Women in Computing 2006 (Oct 2006)
    [Grace Hopper]
    
    
86. Assent I., Seidl T.:
    Efficient Multi-Step Query Processing for EMD-based Similarity
    T. Crawford, R. Veltkamp (eds.): Content-Based Retrieval. Dagstuhl Seminar 06171 (2006)
    [Dagstuhl Seminar Proceedings] [Full Text PDF]
    
    
87. Seidl T. (with Kriegel H.-P., Schönauer S., Kailing K.):
    Data Mining and Efficient Similarity Retrieval of Hierarchical Structures from Large Databases
    J.-R. Sack, M. Sester, M. Worboys, P. van Oosterom (eds.): Spatial Data - mining, processing and communicating. Dagstuhl Seminar 06101 (2006)
    [seminar homepage]
    
    
88. Seidl T., Enderle J.:
    Binäre Suche
    In: Algorithmus der Woche, www-i1.informatik.rwth-aachen.de/~algorithmus (2006)
    [Homepage]
    
    

89. Enderle J., Schneider N., Seidl T.:
    Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases
    Proc. 31st Internat. Conf. on Very Large Data Bases (VLDB 2005), Trondheim, Norway p. 385-396 (2005) (acceptance rate 16.5%)
    [VLDB 2005 homepage] [Paper]
    
    
90. Zaki M., Peters M., Assent I., Seidl T.:
    CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets
    Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2005), Chicago, IL, USA p. 736 - 742 (2005) (acceptance rate 22%)
    [http://www.acm.org/sigkdd/kdd2005]
    
    
91. Brochhaus C., Enderle J., Schlosser A., Seidl T., Stolze K.:
    Efficient Interval Management Using Object-Relational Database Servers
    In Informatik - Forschung und Entwicklung (IFE) 20(3) p. 121-137 (2005) ISSN: 0178-3564 (Paper), 0949-2925 (Online); DOI: 10.1007/s00450-005-0207-7
    [IFE journal link] [article]
    
    
92. Brochhaus C., Enderle J., Schlosser A., Seidl T., Stolze K.:
    Integrating the Relational Interval Tree into IBM’s DB2 Universal Database Server
    Proc. 11th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2005), Karlsruhe, Germany. GI-Edition Lecture Notes in Informatics 65 p. 67-86 (2005) (acceptance rate 25%)
    [BTW 2005] [Paper (RWTH-Intern)]
    
    
93. Kriegel H.-P., Pfeifle M., Pötke M., Seidl T., Enderle J.:
    Object-Relational Spatial Indexing
    In: Manolopoulos Y., Papadopoulos A., Vassilakopoulos M. (eds.): Spatial Databases: Technologies, Techniques and Trends. Idea Group Inc. p. 49-80 (2005)
    [publisher] [preliminary version (I9-Intern)]
    
    
94. Seidl T., Krieger R., Assent I., Glavic B., Nacken H.:
    Data Mining zur Entscheidungsunterstützung in der Hydrologie
    In: Nacken H., Bartusseck S., Sewilam H. (Eds.): Entscheidungsunterstützung in der Wasserwirtschaft - Von der Theorie zum Anwendungsfall - Beiträge zum Tag der Hydrologie 2005, Aachen. Forum für Hydrologie und Wasserbewirtschaftung, Heft 10.05 p. 137-145 (2005)
    [Hydrology] [paper (RWTH-Intern)]
    
    
95. Lehmann T. M., Beier D., Thies C. , Seidl T.:
    Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme
    Proc. SPIE Symposium on Medical Imaging (MI 2005): Image Processing, Vol. 5747(56) p. 546-555 (2005)
    [conference homepage] [program] [Paper (RWTH-Intern)]
    
    
96. Jovic M., Seidl T., Hatakeyama Y., Hirota K.:
    Multi Agent Based Image Retrieval System Applied to Decision Making
    4th Internat. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS 2005), 2nd Symposium on Creation of Agent-Based Social Systems Sciences (ABSSS), Tokyo Institute of Technology, Tokyo, Japan p. 101-110 (2005) PAAA AESCS
    [workshop program] [COE homepage]
    
    
97. Brochhaus C., Seidl T.:
    Formhistogramme für 3D-Objekte - Visualisierung der geometrischen Ähnlichkeiten von Molekülen
    Beyer A., Lohoff M. (Eds.): Bild und Erkenntnis. Formen und Funktion des Bildes in Wissenschaft und Technik (2005)
    [Verlag]
    
    
98. Glavic B.:
    Subspace Sequence Clustering - Datamining zur Entscheidungsunterstützung in der Hydrologie
    Studierendenprogramm der 11. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW 2005), Karlsruhe, Germany p. 15-17 (2005)
    [conference] [BTW Studierendenprogramm] [paper (RWTH-Intern)]
    
    
99. Schulte-Coerne T. H.:
    Visualisierung von Distanzfunktionen insbesondere der Earth Movers Distance
    GI Informatiktage 2005, Schloss Birlinghoven: 8. bis 9. April 2005 p. 139-142 (2005)
    [conference homepage] [paper]
    
    

100. Enderle J., Hampel M., Seidl T.:
     Joining Interval Data in Relational Databases
     Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2004), Paris, France p. 683-694 (2004) (acceptance rate 16%)
     [conference homepage] [paper]
     
     
101. Kailing K., Kriegel H.-P., Schönauer S., Seidl T.:
     Efficient Similarity Search in Large Databases of Tree Structured Objects
     (Poster) Proc. IEEE Int. Conf. on Data Engineering (ICDE 2004). p. 835 (2004) (acceptance rate 19%)
     [conference homepage] [paper (RWTH-Intern)]
     
     
102. Kailing K., Kriegel H.-P., Schönauer S., Seidl T.:
     Efficient Similarity Search for Hierarchical Data in Large Databases
     Proc. 9th Int. Conf. on Extending Data Base Technology (EDBT 2004), Heraklion - Crete, Greece. Springer LNCS 2992 p. 676-693 (2004) (acceptance rate 14%)
     [conference homepage] [Paper]
     
     
103. Jovic M., Seidl T., Stejic Z., Assent I.:
     Image Clustering and Retrieval Combining fixed/adaptive-binned Histograms and various Distance Functions
     2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2004) p. 301-306 (2004)
     [conference homepage] [Paper (RWTH-Intern)]
     
     
104. Seidl T.:
     Nearest Neighbor Search on Multimedia Indexing Structures
     Invited Tutorial on 1st Int. Workshop on Computer Vision meets Databases (CVDB 2004) in cooperation with ACM SIGMOD. p. 2 (2004)
     [workshop homepage] [Slides]
     
     
105. Lehmann T., Plodowski B., Spitzer K., Wein B., Ney H., Seidl T.:
     Extended Query Refinement for Content-Based Access to Large Medical Image Databases
     Proc. SPIE Symposium on Medical Imaging (MI 2004): PACS and Imaging Informatics, Vol. 5371(15) p. 90-98 (2004)
     [conference homepage] [program] [paper]
     
     
106. Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
     A Cost Model for Spatial Intersection Queries on RI-Trees
     Proc. 9th Int'l Conf. on Database Systems for Advanced Applications (DASFAA 2004), Jeju Island, Korea. Springer LNCS 2973 p. 331-338 (2004) (acceptance rate 29%)
     [conference homepage] [Springer Link] [Paper (RWTH-Intern)]
     
     

107. Kriegel H.-P., Kröger P., Mashael Z., Pfeifle M., Pötke M., Seidl T.:
     Effective Similarity Search on Voxelized CAD Objects
     Proc. 8th Int. Conf. on Database Systems for Advanced Applications (DASFAA 2003), Kyoto, Japan. IEEE Computer Society p. 27-36 (Mar 2003)
     [IEEE electronic edition] [conference homepage] [Paper (RWTH-Intern)]
     
     
108. Kriegel H.-P., Pfeifle M., Pötke M., Renz M., Seidl T.:
     Spatial Data Management for Virtual Product Development
     In: Klein R., Six H.-W., Wegner L. (Eds.): Computer Science in Perspective - Essays Dedicated to Thomas Ottmann. Springer LNCS 2598 p. 216-230 (2003)
     [Springer Link] [Paper]
     
     
109. Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
     Spatial Query Processing for High Resolutions
     Proc. 8th Int. Conf. on Database Systems for Advanced Applications (DASFAA 2003), Kyoto, Japan. IEEE Computer Society p. 17-26 (2003)
     [IEEE electronic edition] [conference homepage] [Paper (RWTH-Intern)]
     
     
110. Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
     The Paradigm of Relational Indexing: A Survey
     Proc. 10th GI-Conf. on Database Systems for Business, Technology, and the Web (BTW 2003), Leipzig, Germany. GI-Edition Lecture Notes in Informatics, P-26 p. 285-304 (2003)
     [conference homepage] [paper]
     
     
111. Assent I.:
     Komplexität endlicher selbst-verifizierender Automaten
     Tagungsband Informatiktage 2003 (2003)
     
     
112. Seidl T.:
     Database Support for Multimedia Retrieval
     In: Klein R., Clausen M. (eds.): Perspective Seminar Multimedia Retrieval. Dagstuhl Seminar 03112 (Mar 2003)
     [Seminar-Homepage] [Abstract]
     
     

113. Böhm C., Kriegel H.-P., Seidl T.:
     Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
     Journal of Intelligent Information Systems (JIIS), Kluwer, 19(2) p. 207-230 (Sep 2002)
     [Journal-Hompage] [Article (RWTH-Intern)]
     
     
114. Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
     A Cost Model for Interval Intersection Queries on RI-Trees
     Proc. 14th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2002), Edinburgh, UK. IEEE Computer Society p. 131-141 (2002)
     [IEEE electronic edition] [conference homepage] [Paper]
     
     
115. A. Kuckelberg, Krieger R.:
     Efficient Structure Oriented Storage of XML Documents Using ORDBMS
     Proc. of the VLDB 2002 Workshop EEXTT and CAiSE 2002 Workshop DTWeb on Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web-Revised Papers (EEXTT 2002), Hong Kong, China. Springer LNCS 2590 p. 131-143 (2002)
     [Conference-Homepage] [Paper]
     
     
116. Seidl T.:
     Database Support for Content-Based Retrieval
     In: Malik J., Kriegel H.-P., Shapiro L., Veltkamp R. (eds.): Content-Based Image and Video Retrieval. Dagstuhl Seminar (Jan 2002)
     [Seminar-Homepage] [Report] [Abstract]
     
     

117. Kriegel H.-P., Müller A., Pötke M., Seidl T.:
     Spatial Data Management for Computer Aided Design
     Demo, Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, California p. 614 (May 2001)
     [Conference-Homepage] [Paper]
     
     
118. Kriegel H.-P., Müller A., Pötke M., Seidl T.:
     DIVE: Database Integration for Virtual Engineering
     Demo Proc. IEEE 17th Int. Conf. on Data Engineering (ICDE 2001), Heidelberg, Germany p. 15-16 (Apr 2001)
     [Paper]
     
     
119. Kriegel H.-P., Pötke M., Seidl T.:
     Interval Sequences: An Object-Relational Approach to Manage Spatial and Temporal Data
     Proc. 7th Int. Symposium on Spatial and Temporal Databases (SSTD 2001), Los Angeles, California. Springer LNCS 2121 p. 481-501 (Jul 2001)
     [Conference-Homepage] [Paper]
     
     
120. Kriegel H.-P., Pötke M., Seidl T.:
     Object-Relational Indexing for General Interval Relationships
     Proc. 7th Int. Symposium on Spatial and Temporal Databases (SSTD 2001), Los Angeles, California, LNCS 2121 p. 522-542 (Jul 2001)
     [Conference-Homepage] [Paper]
     
     
121. Böhm C., Kriegel H.-P., Seidl T.:
     Adaptable Similarity Search Using Vector Quantization
     Proc. Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK 2001), Munich, Germany. Springer LNCS 2114 p. 317-327 (2001)
     [Paper]
     
     
122. Seidl T., Kriegel H.-P.:
     Adaptable Similarity Search in Large Image Databases
     In: Veltkamp R., Burkhardt H., Kriegel H.-P. (eds.): State-of-the-Art in Content-Based Image and Video Retrieval. Kluwer Academic Publishers p. 297-317 (2001)
     [Paper (RWTH-Intern)]
     
     
123. Seidl T.:
     Content-Based Retrieval in Multimedia Databases
     Habilitationsschrift (postdoctoral thesis), Faculty of Mathematics and Computer Science, University of Munich (2001)
     [Contents]
     
     

124. Berchtold S., Keim D. A., Kriegel H.-P., Seidl T.:
     Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Spaces
     IEEE Transactions on Knowledge and Data Engineering (TKDE) 12(1) p. 45-57 (2000)
     [Journal-Homepage] [Paper (RWTH-Intern)]
     
     
125. Kriegel H.-P., Pötke M., Seidl T.:
     Managing Intervals Efficiently in Object-Relational Databases
     Proc. 26th Int. Conf. on Very Large Data Bases (VLDB 2000), Cairo, Egypt p. 407-418 (2000)
     [Demo RI-Tree] [Talk] [Paper]
     
     
126. Kriegel H.-P., Pötke M., Seidl T.:
     Relational Interval Tree
     Patent Application No. 00112031.0 (EPO) (2000)
     
     
127. Pötke M., Seidl T.:
     Spatial Queries on Relational Interval Trees
     Patent Application No. 00116887.1 (EPO) (2000)
     
     

128. Ankerst M., Kastenmüller G., Kriegel H.-P., Seidl T.:
     3D Shape Histograms for Similarity Search and Classification in Spatial Databases
     Proc. 6th Int. Symposium on Spatial Databases (SSD 1999), Hong Kong, China, LNCS 1651 p. 207-226 (1999)
     [Paper (RWTH-Intern)]
     
     
129. Ankerst M., Kastenmüller G., Kriegel H.-P., Seidl T.:
     Nearest Neighbor Classification in 3D Protein Databases
     Proc. 7th Int. Conf. on Intelligent Systems for Molecular Biology (ISMB 1999), Heidelberg, Germany. AAAI Press p. 34-43 (Aug 1999)
     [Paper]
     
     
130. Backofen R., Bry F., Clote P., Kriegel H.-P., Seidl T., Schulz K.::
     Bioinformatik -- Aktuelles Schlagwort
     Informatik Spektrum, Springer, 22(5) p. 376-378 (Oct 1999)
     [GI-Lexikon] [Paper]
     
     
131. Seidl T.., Kriegel H.-P.:
     Adaptable Similarity Search in Large Databases
     In: Burkhardt H., Kriegel H.-P., Veltkamp R. (eds.): Content-Based Image and Video Retrieval. Dagstuhl Seminar Report 261 p. 5 (1999)
     [Seminar-Homepage] [Report] [Talk]
     
     
132. Seidl T.., Kriegel H.-P.:
     Mining Protein Databases
     Proc. Tag der Informatik Bioinformatik (TdI), Institute for Computer Science, University of Munich (1999)
     [Talk]
     
     

133. Ankerst M., Kriegel H.-P., Seidl T.:
     A Multistep Approach for Shape Similarity Search in Image Databases
     IEEE Transactions on Knowledge and Data Engineering (TKDE) 10(6) p. 996-1004 (Nov 1998)
     [Journal-Homepage] [Buy] [Paper (RWTH-Intern)]
     
     
134. Seidl T., Kriegel H.-P.:
     Optimal Multi-Step k-Nearest Neighbor Search
     Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 1998), Seattle, Washington p. 154-165 (1998)
     [Paper] [Talk]
     
     
135. Ankerst M., Braunmüller B., Kriegel H.-P., Seidl T.:
     Improving Adaptable Similarity Query Processing by Using Approximations
     Proc. 24th Int. Conf. on Very Large Data Bases (VLDB 1998), New York, USA p. 206-217 (1998)
     [Paper] [Talk]
     
     
136. Berchtold S., Ertl B., Keim D. A., Kriegel H.-P., Seidl T.:
     Fast Nearest Neighbor Search in High-Dimensional Spaces
     Proc. IEEE 14th Int. Conf. on Data Engineering (ICDE 1998), Orlando, Florida p. 209-218 (Feb 1998)
     [Paper]
     
     
137. Kastenmüller G., Kriegel H.-P.,Seidl T.:
     Similarity Search in 3D Protein Databases
     Proc. German Conf. on Bioinformatics (GCB 1998), Cologne, Germany (Oct 1998)
     [Paper] [Talk]
     
     
138. Kriegel H.-P., Seidl T.:
     Approximation-Based Similarity Search for 3-D Surface Segments
     Int. Journal on Advances of Computer Science for Geographic Information Systems (GeoInformatica) 2(2) p. 113-147 (Jun 1998)
     [Journal-Homepage] [Paper (RWTH-Intern)]
     
     
139. Seidl T.:
     Similarity Search in Spatial Databases
     In: Günther O., Sellis T., Theodoulidis B. (eds.): Integrating Spatial and Temporal Databases. Dagstuhl Seminar Report 228, 27 (Nov 1998)
     [Seminar-Homepage] [Report] [Talk]
     
     
140. Seidl T.:
     Adaptable Similarity Search in 3-D Spatial Database Systems
     GI-Datenbank Rundbrief 21: 96 (1998)
     [Abstract]
     
     

141. Seidl T., Kriegel H.-P.:
     Efficient User-Adaptable Similarity Search in Large Multimedia Databases
     Proc. 23rd Int. Conf. on Very Large Data Bases (VLDB 1998), Athens, Greece p. 506-515 (1997)
     [Paper] [Talk]
     
     
142. Kriegel H.-P., Schmidt T., Seidl T.:
     3D Similarity Search by Shape Approximation
     Proc. 5th Int. Symposium on Large Spatial Databases (SSD 1997), Berlin, Germany, LNCS 1262 p. 11-28 (1997)
     [Paper] [Talk]
     
     
143. Kriegel H.-P., Schmidt T., Seidl T.:
     Biomolekulare Wechselwirkungen von Proteinen -- Datenbankunterstützung für das Proteindocking
     Final Report, BMBF joint project BIOWEPRO (1997)
     [Paper]
     
     
144. Seidl T.:
     Adaptable Similarity Search in 3-D Spatial Database Systems
     Dissertation (Ph.D. thesis), Faculty of Mathematics and Computer Science, University of Munich. Herbert Utz Verlag, Munich (1997)
     [Buy] [Contents]
     
     

145. Kriegel H.-P., Schmidt T., Seidl T.:
     Können Proteine im Computer docken?
     In: Einsichten, Ludwig-Maximilians-Universität München, No.2/96 p. 26-29 (1996)
     [Paper (RWTH-Intern)]
     
     

146. Seidl T., Kriegel H.-P.:
     A 3D Molecular Surface Representation Supporting Neighborhood Queries
     Proc. 4th Int. Symposium on Large Spatial Databases (SSD 1995), Portland, Maine, USA, LNCS 951 p. 240-258 (1995)
     [Paper] [Talk]
     
     
147. Seidl T., Kriegel H.-P.:
     Solvent Accessible Surface Representation in a Database System for Protein Docking
     Proc. 3rd Int. Conf. on Intelligent Systems for Molecular Biology (ISMB 1995), Cambridge, UK. AAAI Press p. 350-358 (1995)
     [Paper]
     
     
148. Ester M., Kriegel H.-P., Seidl T., Xu X.::
     Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank
     Proc. 6th German Conf. on Database Systems Datenbanken in Büro, Technik und Wissenschaft (BTW 1995), Dresden, Germany. Springer Series Informatik Aktuell p. 373-382 (1995)
     [Paper] [Talk]
     
     
149. Kriegel H.-P., Schmidt T., Seidl T.:
     Moleküloberflächen in einer objektorientierten Proteindatenbank
     Proc. German Conf. on Bioinformatics (GCB 1995), Braunschweig, Germany (1995)
     [Paper]
     
     
150. Schomburg D., Jakob U., Meyer M., Wilson P., Sagerer G., Ackermann F., G. Herrmann, Posch S., Soumpasis D. M., Grimm G., Ihmels B., Strahm M., Kriegel H.-P., Seidl T., Schmidt T., Ester M., Xu X.::
     BIOWEPRO -- Wechselwirkungen von Proteinen
     Proc. BMBF Statusseminar Molekulare Bioinformatik, Braunschweig, Germany p. 125-153 (1995)
     [Project site]
     
     
151. Seidl T.:
     A Database System for Protein Docking
     In: Gusfield D., Lengauer T., Sander C. (eds.): Molecular Bioinformatics. Dagstuhl Seminar Report 120 p. 21-22 (1995)
     [Report (PDF)] [Report (PS)] [Talk]
     
     

152. Keim D. A., Kriegel H.-P., Seidl T.:
     Supporting Data Mining of Large Databases by Visual Feedback Queries
     Proc. IEEE 10th Int. Conf. on Data Engineering (ICDE 1994), Houston, Texas p. 302-313 (1994)
     [Paper]
     
     
153. Aldinger K., Ester M., Förstner G., Kriegel H.-P., Seidl T.:
     Datenbankunterstützung für das Protein-Protein-Docking: ein effizienter und robuster Feature-Index
     Proc. German Conf. on Bioinformatics (GCB 1994), Jena, Germany p. 41-52 (1994)
     [Paper]
     
     

154. Keim D. A., Kriegel H.-P., Seidl T.:
     Visual Feedback in Querying Large Databases
     Proc. IEEE Int. Conf. on Visualization 1993, San Jose, California p. 158-165 (1993)
     [Paper]