Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Thomas
    Last name: Seidl
    DBLP: s/ThomasSeidl
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 167  
    Select a publication
    Show Title Venue Rating Date
    Conference paper
    Sergej Fries, Stephan Wels, Thomas Seidl.
    Projected Clustering for Huge Data Sets in MapReduce.
    Proceedings of the 17th International Conference on Extending Database Technology, EDBT 2014, Athens, Greece, March 24-28, 2014. 2014 (0) 2014
    Conference paper
    Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl.
    PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce.
    IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014 2014 (0) 2014
    Conference paper
    Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl.
    Subspace anytime stream clustering.
    Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014 2014 (0) 2014
    Conference paper
    Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl.
    (k, d)-core anonymity: structural anonymization of massive networks.
    Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014 2014 (0) 2014
    Conference paper
    Merih Seran Uysal, Christian Beecks, Thomas Seidl.
    On Efficient Query Processing with the Earth Mover's Distance.
    Proceedings of the 7th Workshop on Ph.D Students, PIKM@CIKM 2014, Shanghai, China, November 3, 2014 2014 (0) 2014
    Journal article
    Thomas Seidl.
    Datenmanagement und -exploration an der RWTH Aachen.
    Datenbank-Spektrum 2013, Volume 13 (0) 2013
    Conference paper
    Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl.
    Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.
    Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I 2013 (0) 2013
    Conference paper
    Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl.
    Effective Evaluation Measures for Subspace Clustering of Data Streams.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers 2013 (0) 2013
    Conference paper
    Christoph Quix, Johannes Barnickel, Sandra Geisler, Marwan Hassani, Saim Kim, Xiang Li 0002, Andreas Lorenz, Till Quadflieg, Thomas Gries, Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, Thomas Seidl.
    HealthNet: A System for Mobile and Wearable Health Information Management.
    Proceedings of the 3rd International Workshop on Information Management for Mobile Applications, Riva del Garda, Italy, August 26, 2013. 2013 (0) 2013
    Conference paper
    Stephan Günnemann, Ines Färber, Sebastian Raubach, Thomas Seidl.
    Spectral Subspace Clustering for Graphs with Feature Vectors.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
    Journal article
    Philipp Kranen, Ira Assent, Thomas Seidl.
    An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams.
    Datenbank-Spektrum 2012, Volume 12 (0) 2012
    Conference paper
    Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read.
    Stream Data Mining Using the MOA Framework.
    Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part II 2012 (0) 2012
    Conference paper
    Anca Maria Zimmer, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl.
    PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction.
    Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part II 2012 (0) 2012
    Conference paper
    Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl.
    AnyOut: Anytime Outlier Detection on Streaming Data.
    Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part I 2012 (0) 2012
    Conference paper
    Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl.
    Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data.
    IEEE 28th International Conference on Data Engineering (ICDE 2012), Washington, DC, USA (Arlington, Virginia), 1-5 April, 2012 2012 (0) 2012
    Conference paper
    Stephan Günnemann, Brigitte Boden, Thomas Seidl.
    Finding density-based subspace clusters in graphs with feature vectors.
    Data Min. Knowl. Discov. 2012, Volume 25 (0) 2012
    Conference paper
    Stephan Günnemann, Ines Färber, Thomas Seidl.
    Multi-view clustering using mixture models in subspace projections.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl.
    Mining coherent subgraphs in multi-layer graphs with edge labels.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Stephan Günnemann, Ines Färber, Kittipat Virochsiri, Thomas Seidl.
    Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Thomas Seidl, Brigitte Boden, Sergej Fries.
    CC-MR - Finding Connected Components in Huge Graphs with MapReduce.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I 2012 (0) 2012
    Conference paper
    Anca Maria Zimmer, Philipp Kranen, Thomas Seidl.
    Hinging Hyperplane Models for Multiple Predicted Variables.
    Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Philipp Kranen, Marwan Hassani, Thomas Seidl.
    BT* - An Advanced Algorithm for Anytime Classification.
    Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Stephan Günnemann, Brigitte Boden, Thomas Seidl.
    Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types.
    Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Anca Maria Zimmer, Marc Wichterich, Christian Beecks, Thomas Seidl.
    The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities.
    Frontiers of Computer Science in China 2012, Volume 6 (0) 2012
    Conference paper
    Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel.
    Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081).
    Dagstuhl Reports 2012, Volume 2 (0) 2012
    Show item 1 to 25 of 167  

    Your query returned 167 matches in the database.