Publications

Dang, X-H., Micenková, B., Assent, I. & Ng, R. T. (2013). Local Outlier Detection with Interpretation. In H. Blockeel, K. Kersting , S. Nijssen & F. Železný (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III (pp. 304-320 ). Springer VS. Lecture Notes in Computer Science Vol. 8190 https://doi.org/10.1007/978-3-642-40994-3_20

Dang, X-H., Micenková, B., Assent, I. & Ng, R. T. (2013). Outlier Detection with Space Transformation and Spectral Analysis. In C. Kamath, J. Dy, Z. Obradovic, J. Ghosh, S. Parthasarathy & Z-H. Zhou (Eds.), Proceedings of the 2013 SIAM International Conference on Data Mining, SDM (pp. 225-233). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611972832.25

Assent, I., Domeniconi, C., Gullo, F., Tagarelli, A. & Zimek, A. (Eds.) (2013). Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering. Association for Computing Machinery. http://dl.acm.org.ez.statsbiblioteket.dk:2048/citation.cfm?id=2501006&coll=DL&dl=ACM

Magnani, M., Assent, I., Hornbæk, K., Jakobsen, M. R. & Larsen, K. F. (2013). SkyView: a user evaluation of the skyline operator. In Q. He & A. Iyengar (Eds.), Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, CIKM '13 (pp. 2249-2254 ). Association for Computing Machinery. https://doi.org/10.1145/2505515.2505739

Kranen, P., Assent, I. & Seidl, T. (2012). An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum, 12(1), 43-50 . https://doi.org/10.1007/s13222-012-0083-9

Assent, I., Kranen, P., Baldauf, C. & Seidl, T. (2012). AnyOut : Anytime Outlier Detection Approach for High-dimensional Data. Lecture Notes in Computer Science, 7238, 228-242. https://doi.org/10.1007/978-3-642-29038-1_18

Magnani, M., Assent, I. & Mortensen, M. L. (2012). Anytime skyline query processing for interactive systems. Paper presented at International Workshop on Ranking in Databases, Istanbul, Turkey. http://chenwsdb.fulton.ad.asu.edu/DBRank2012/

Assent, I. (2012). Clustering high dimensional data. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2(4), 340-350. https://doi.org/10.1002/widm.1062

Guo, C., Ma, M., Yang, B., Jensen, C. S. & Kaul, M. (2012). EcoMark: Evaluating Models of Vehicular Environmental Impact. In I. Cruz & C. Knoblock (Eds.), Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM SIGSPATIAL GIS 2012 (pp. 269-278). Association for Computing Machinery. https://doi.org/10.1145/2424321.2424356

Dang, X-H., Assent, I. & Bailey, J. (2012). Multiple Clustering Views via Constrained Projections. In E. Müller, T. Seidl & A. Zimek (Eds.), 2012 SIAM International Conference on Data Mining: 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings (pp. 23-30). Society for Industrial and Applied Mathematics. http://siam.omnibooksonline.com/2012datamining/data/papers/WS06.pdf

Muller, E., Assent, I., Iglesias, P., Mülle, Y. & Böhm, K. B. (2012). Outlier Ranking via Subspace Analysis in Multiple Views of the Data. In Proceedings of the 12th IEEE International Conference on Data Mining, ICDM (pp. 529 - 538 ). IEEE Communications Society. https://doi.org/10.1109/ICDM.2012.112

Yiu, M. L., Assent, I. & Jensen, C. S. (2012). Outsourced Similarity Search on Metric Data Assets. I E E E Transactions on Knowledge & Data Engineering, 24(2), 338-352. https://doi.org/10.1109/TKDE.2010.222

Cao, X., Chen, L., Cong, G., Jensen, C. S., Qu, Q., Skovsgaard, A., Wu, D. & Yiu, M. L. (2012). Spatial Keyword Querying: Invited Paper. Lecture Notes in Computer Science, 7532, 16-29 . https://doi.org/10.1007/978-3-642-34002-4_2

Müller, E., Assent, I., Günnemann, S., Gerwert, P., Hannen, M., Jansen, T. & Seidl, T. (2011). A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. In T. Härder, W. Lehner, B. Mitschang, H. Schöning & H. Schwarz (Eds.), Proceedings of the 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011) (pp. 347-366). Gesellschaft für Informatik e.V..

Nguyen, H. V., Gopalkrishnan, V. & Assent, I. (2011). An Unbiased Distance-based Outlier Detection Approach for High-dimensional Data. Lecture Notes in Computer Science, 6587, 138-152. https://doi.org/10.1007/978-3-642-20149-3_12

Beecks, C., Assent, I. & Seidl, T. (2011). Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. Lecture Notes in Computer Science, 6523, 140-150. https://doi.org/10.1007/978-3-642-17832-0_14

Vicente, C. R., Assent, I. & Jensen, C. S. (2011). Effective Privacy-Preserving Online Route Planning. In 2011 12th IEEE International Conference on Mobile Data Management (MDM) (pp. 119-128). IEEE Computer Society Press. https://doi.org/10.1109/MDM.2011.20

Kremer, H., Günnemann, S., Ivanescu, A-M., Assent, I. & Seidl, T. (2011). Efficient Processing of Multiple DTW Queries in Time Series Databases. Lecture Notes in Computer Science, 6809, 150-167. https://doi.org/10.1007/978-3-642-22351-8_9

Assent, I. (2011). Efficient algorithms for collaborative decision making for large scale settings. In Proceedings of the 3rd international workshop on Collaborative information retrieval (pp. 15-18). Association for Computing Machinery. https://doi.org/10.1145/2064075.2064081

Günnemann, S., Färber, I., Müller, E., Assent, I. & Seidl, T. (2011). External Evaluation Measures for Subspace Clustering. In Proceedings of the 20th ACM international conference on Information and knowledge management (pp. 1363-1372). Association for Computing Machinery. https://doi.org/10.1145/2063576.2063774

Müller, E., Assent, I., Günnemann, S. & Seidl, T. (2011). Scalable Density-Based Subspace Clustering. In Proceedings of the 20th ACM international conference on Information and knowledge management (pp. 1077-1086). Association for Computing Machinery. https://doi.org/10.1145/2063576.2063733

Kranen, P., Assent, I., Baldauf, C. & Seidl, T. (2011). The ClusTree : indexing micro-clusters for anytime stream mining. Knowledge and Information Systems, 29(2), 249-272. https://doi.org/10.1007/s10115-010-0342-8

Assent, I., Kranen, P., Baldauf, C. & Seidl, T. (2010). Detecting Outliers on Arbitrary Data Streams using Anytime Approaches. In International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD 2010) in conjunction with 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA (2010) https://doi.org/10.1145/1833280.1833282

Wichterich, M., Kranen, P., Assent, I. & Seidl, T. (2010). Efficient EMD-based Similarity Search in Medical Image Databases. In C. Plant & C. Böhm (Eds.), Database Technology for Life Sciences and Medicine (pp. 175-202). World Scientific. Science, Engineering and Biology Informatics Vol. 6

Assent, I. (2010). Effiziente ähnlichkeitssuche und Data Mining in großen Multimediadatenbanken. IT - Information Technology, 52(1), 45-47. https://doi.org/10.1524/itit.2010.0570

Kranen, P., Müller, E., Assent, I., Krieger, R. & Seidl, T. (2010). Incremental Learning of Medical Data for Multi-Step Patient Health Classification. In C. Plant & C. Böhm (Eds.), Database Technology for Life Sciences and Medicine (pp. 321-344). World Scientific. Science, Engineering and Biology Informatics Vol. 6

Assent, I., Müller, E., Günnemann, S., Krieger, R. & Seidl, T. (2010). Less is More: Non-Redundant Subspace Clustering. In 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA (2010)

Assent, I. (2010). Mining and representing recommendations in actively evolving recommender systems. In International Workshop on Modeling, Managing and Mining of Evolving Social Networks (M3SN), in conjunction with IEEE International Conference on Data Engineering (ICDE 2010), Long Beach, CA, USA (pp. 282-285) https://doi.org/10.1109/ICDEW.2010.5452714

Assent, I., Kremer, H., Günnemann, S. & Seidl, T. (2010). Pattern Detector: Fast Detection of Suspicious Stream Patterns for Immediate Reaction. In Proc. International Conference on Extending Database Technology (EDBT/ICDT 2010), Lausanne, Switzerland http://www.edbt.org/Proceedings/2010-Lausanne/

Assent, I. (2009). Actively building private recommender networks for evolving reliable relationships. In Proc. International Workshop on Modeling, Managing and Mining of Evolving Social Networks (M3SN), in conjunction with IEEE International Conference on Data Engineering (ICDE 2009) (pp. 1611-1614) https://doi.org/10.1109/ICDE.2009.145

Assent, I., Wichterich, M., Krieger, R., Kremer, H. & Seidl, T. (2009). Anticipatory DTW for Efficient Similarity Search in Time Series Databases. International Conference on Very Large Data Bases. Proceedings, 826-837. http://www.informatik.uni-trier.de/~ley/db/journals/pvldb/pvldb2.html

Assent, I., Krieger, R., Welter, P., Herbers, J. & Seidl, T. (2009). Data Mining For Robust Flight Scheduling. In Data Mining for Business Applications (pp. 267-282) http://www.springer.com/computer/database+management+&+information+retrieval/book/978-0-387-79419-8

Müller, E., Assent, I., Krieger, R., Günnemann, S. & Seidl, T. (2009). DensEst: Density Estimation for Data Mining in High Dimensional Spaces. In Proceedings of the Ninth SIAM International Conference on Data Mining (pp. 175-186) http://www.siam.org/proceedings/datamining/2009/dm09.php

Assent, I. (2009). Efficient adaptive retrieval and mining in large multimedia databases. Datenbank-Spektrum, 9(29), 57.

Assent, I. (2009). Efficient adaptive retrieval and mining in large multimedia databases. Lecture Notes in Informatics, 144. http://btw2009.uni-muenster.de/oe20/cms/website.php?id=/de/index/programm.htm

Müller, E., Günnemann, S., Assent, I. & Seidl, T. (2009). Evaluating Clustering in Subspace Projections of High Dimensional Data. V L D B Journal, (1), 1270-1281. http://www.informatik.uni-trier.de/~ley/db/journals/pvldb/pvldb2.html

Assent, I., Günnemann, S., Kremer, H. & Seidl, T. (2009). High-dimensional Indexing for Multimedia Features. Lecture Notes in Informatics, 187-206. http://btw2009.uni-muenster.de/oe20/cms/website.php?id=/de/index/programm.htm

Müller, E., Assent, I., Günnemann, S. & Seidl, T. (2009). OpenSubspace: An Open Source Framework for Evaluation and Exploration of Subspace Clustering Algorithms in WEKA. In Proceedings of OSDM 2009 (pp. 1-12) http://osdm09.togaware.com/

Müller, E., Assent, I., Günnemann, S., Krieger, R. & Seidl, T. (2009). Relevant Subspace Clustering: Mining the Most Interesting Non-Redundant Concepts in High-Dimensional Data. In Proc. IEEE International Conference on Data Mining (ICDM 2009) (pp. 377-386) https://doi.org/10.1109/ICDM.2009.10

Assent, I. & Seidl, T. (2008). Advanced Data Mining Algorithms. http://www-i9.informatik.rwth-aachen.de/lehre/hauptstudium/datamining/ss2008#73

Assent, I., Krieger, R., Glavic, B. & Seidl, T. (2008). Clustering Multidimensional Sequences in Spatial and Temporal Databases. Knowledge and Information Systems, 16(1), 29-51. https://doi.org/10.1007/s10115-007-0121-3

Assent, I., Krieger, R., Müller, E. & Seidl, T. (2008). EDSC: Efficient Density-Based Subspace Clustering. In Proceeding of the 17th ACM conference on Information and knowledge management 2008, Napa Valley, California, USA (pp. 1093-1102) https://doi.org/10.1145/1458082.1458227

Wichterich, M., Assent, I., Philipp, K. & Seidl, T. (2008). Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data (pp. 199-212) https://doi.org/10.1145/1376616.1376639

Assent, I., Wichterich, M., Meisen, T. & Seidl, T. (2008). Efficient Similarity Search Using the Earth Mover's Distance for Large Multimedia Databases. In IEEE 24th International Conference on Data Engineering, 2008. ICDE 2008. (pp. 307-316) https://doi.org/10.1109/ICDE.2008.4497439

Assent, I. (2008). Efficient adaptive retrieval and mining in large multimedia databases. http://darwin.bth.rwth-aachen.de/opus3/volltexte/2008/2259/

Assent, I., Krieger, R. & Seidl, T. (2008). Evolutionäre Clustering-Algorithmen: Bionik-Methoden für Knowledge Discovery in Datenbanken. R W T H - Themen, (1). http://www.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaaabfhbu

Assent, I., Krieger, R., Müller, E., ller, E. & Seidl, T. (2008). INSCY: indexing subspace clusters with in-process-removal of redundancy. In Eighth IEEE International Conference on Data Mining, 2008. ICDM '08. (pp. 719-724) https://doi.org/10.1109/ICDM.2008.46

Müller, E., Assent, I., Krieger, R., Jansen, T. & Seidl, T. (2008). Morpheus: Interactive Exploration of Subspace Clustering. In Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1089-1092) https://doi.org/10.1145/1401890.1402026

Müller, E., Assent, I., Steinhausen, U. & Seidl, T. (2008). OutRank: ranking outliers in high dimensional data. In IEEE 24th International Conference on Data Engineering Workshop, 2008. ICDEW 2008 (pp. 600-603) https://doi.org/10.1109/ICDEW.2008.4498387

Seidl, T., Müller, E., Assent, I. & Steinhausen, U. (2008). Outlier detection and ranking based on subspace clustering. Dagstuhl Seminar Proceedings. http://www.dagstuhl.de/Materials/index.en.phtml?08421

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