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Department of Computer Science

Publications

Lissandrini, M., Mottin, D., Velegrakis, Y. & Palpanas, T. (2018). Multi-Example Search in Rich Information Graphs. In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 809-820). Article 8509299 https://doi.org/10.1109/ICDE.2018.00078

Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2018). NetLSD: Hearing the Shape of a Graph. In Y. Guo & F. Farooq (Eds.), KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2347-2356). Association for Computing Machinery. https://doi.org/10.1145/3219819.3219991

Mottin, D., Grasnick, B., Kroschk, A., Siegler, P. & Mueller, E. (2018). Notable Characteristics Search through Knowledge Graphs. In Advances in Database Technology — EDBT 2018: 21st International Conference on Extending Database Technology, Proceedings (Vol. 2018, pp. 429-432). openproceedings.org. https://doi.org/10.5441/002/edbt.2018.39

Saleem, M. A., Soares da Costa, F., Dolog, P., Karras, P., Pedersen, T. B. & Calders, T. (2018). Predicting Visitors Using Location-Based Social Networks. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (pp. 245-250). IEEE. https://doi.org/10.1109/MDM.2018.00043

Enni, S. & Assent, I. (2018). Using Balancing Terms to Avoid Discrimination in Classification. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 947-952). Article 8594925 IEEE Press. https://doi.org/10.1109/ICDM.2018.00116

Tsitsulin, A., Mottin, D., Karras, P. & Müller, E. (2018). VERSE: Versatile Graph Embeddings from Similarity Measures. In P.-A. Champin, F. Gandon & L. Médini (Eds.), The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018: WWW '18 (pp. 539-548). Association for Computing Machinery. https://doi.org/10.1145/3178876.3186120

Lissandrini, M., Mottin, D., Velegrakis, Y. & Palpanas, T. (2018). X₂Q: Your personal example-based graph explorer. Proceedings of the VLDB Endowment, 11(12), 2026-2029. https://doi.org/10.14778/3229863.3236251

Mottin, D. & Müller, E. (2017). Graph exploration: From users to large graphs. In SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data (Vol. Part F127746, pp. 1737-1740). Association for Computing Machinery. https://doi.org/10.1145/3035918.3054778

Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2017). Interactive exploration of subspace clusters for high dimensional data. In D. Benslimane, E. Damiani, W. I. Grosky, A. Hameurlain, A. Sheth & R. R. Wagner (Eds.), Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Proceedings (Vol. 10438 LNCS, pp. 327-342). Springer VS. https://doi.org/10.1007/978-3-319-64468-4_25

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2017). New trends on exploratory methods for data analytics. Proceedings of the VLDB Endowment, 10(12), 1977-1980. https://doi.org/10.14778/3137765.3137824

Mai, S. T., Dieu, M. S., Assent, I., Jacobsen, J., Kristensen, J. & Birk, M. (2017). Scalable and interactive graph clustering algorithm on multicore CPUs. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 349-360). IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2017.94

Neerbek, J., Assent, I. & Dolog, P. (2017). TABOO: Detecting unstructured sensitive information using recursive neural networks. In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 1399-1400). Article 7930091 IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2017.195

Bøgh, K. S., Chester, S., Sidlauskas, D. & Assent, I. (2017). Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. In SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data (pp. 447-462). Association for Computing Machinery. https://doi.org/10.1145/3035918.3035962

Mottin, D., Marascu, A., Roy, S. B., Das, G., Palpanas, T. & Velegrakis, Y. (2016). A holistic and principled approach for the empty-answer problem. VLDB Journal, 25(4), 597-622. https://doi.org/10.1007/s00778-016-0431-8

Thai Son, M., Assent, I. & Storgaard, M. (2016). AnyDBC: An efficient anytime density-based clustering algorithm for very large complex datasets. In KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1025-1034). Association for Computing Machinery. https://doi.org/10.1145/2939672.2939750

Thai Son, M., Assent, I. & Le, A. T. (2016). Anytime OPTICS: An efficient approach for hierarchical density-based clustering. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, X. Sean Wang & H. Xiong (Eds.), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (Vol. 9642, pp. 164-179). Springer VS. https://doi.org/10.1007/978-3-319-32025-0_11

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2016). Exemplar queries: a new way of searching. VLDB Journal, 25(6), 741-765. https://doi.org/10.1007/s00778-016-0429-2

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenkova, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. In R. Krestel, D. Mottin & E. Müller (Eds.), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (Vol. 1670, pp. 1). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1670/paper-55.pdf

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30(4), 891-927. https://doi.org/10.1007/s10618-015-0444-8

Bøgh, K. S., Chester, S. & Assent, I. (2016). SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. The VLDB Journal, 25(6), 817-841. https://doi.org/10.1007/s00778-016-0438-1

Mortensen, M. L., Chester, S., Assent, I. & Magnani, M. (2015). Efficient caching for constrained skyline queries. In International Conference on Extending Database Technology (EDBT 2015) (pp. 337-348). openproceedings.org. https://doi.org/10.5441/002/edbt.2015.30

Ma, M. Y. (2015). Enabling Time-Dependent Uncertain Edge Weights and Stochastic Routing in Road Networks. Department of Computer Science, Aarhus University.

Chester, S. & Assent, I. (2015). Explanations for Skyline Query Results. In International Conference on Extending Database Technology (EDBT 2015) (pp. 349-360). openproceedings.org. https://doi.org/10.5441/002/edbt.2015.31

Mottin, D., Bonchi, F. & Gullo, F. (2015). Graph query reformulation with diversity. In KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Vol. 2015-August, pp. 825-834). Association for Computing Machinery. https://doi.org/10.1145/2783258.2783343

Müller, E., Assent, I., Günnemann, S., Seidl, T. & Dy, J. (2015). MultiClust special issue on discovering, summarizing and using multiple clusterings. Machine Learning, 98(1-2), 1-5. https://doi.org/10.1007/s10994-014-5445-0

Chester, S., Sidlauskas, D., Assent, I. & Bøgh, K. S. (2015). Scalable Parallelization of Skyline Computation for Multi-core Processors. In 31st IEEE International Conference on Data Engineering (ICDE 2015) (pp. 1083 - 1094). IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2015.7113358

Yang, B., Guo, C., Ma, Y. & Jensen, C. S. (2015). Toward personalized, context-aware routing. V L D B Journal, 24(2), 297-318. https://doi.org/10.1007/s00778-015-0378-1

Bøgh, K. S., Chester, S. & Assent, I. (2015). Work-Efficient Parallel Skyline Computation for the GPU. Proceedings of the VLDB Endowment, 8(9), 962-973. https://doi.org/10.14778/2777598.2777605

Dang, X.-H., Assent, I., Ng, R. T., Zimek, A. & Schubert, E. (2014). Discriminative features for identifying and interpreting outliers. In Proceedings, 2014 IEEE 30th International Conference on Data Engineering (ICDE) (pp. 88-99). Article 6816642 IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2014.6816642

Ma, M., Yang, B. & Jensen, C. S. (2014). Enabling Time-Dependent Uncertain Eco-Weights For Road Networks. In M. A. Nascimento & M. Renz (Eds.), Proceedings of the 1st International ACM Workshop on Managing and Mining Enriched Geo-spatial Data: GeoRich 2014 Article 1 Association for Computing Machinery. https://doi.org/10.1145/2619112.2619113

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2014). Exemplar queries: Give me an example of what you need. Proceedings of the VLDB Endowment, 7(5), 365-376. https://doi.org/10.14778/2732269.2732273

Zimek, A., Assent, I. & Vreeken , J. (2014). Frequent Pattern Mining Algorithms for Data Clustering. In C. C. Aggarwal & J. Han (Eds.), Frequent Pattern Mining (pp. 403-423). Springer. https://doi.org/10.1007/978-3-319-07821-2_16

Bøgh, K. S., Chester, S., Sidlauskas, D. & Assent, I. (2014). Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression. In J. Li & X. S. Wang (Eds.), Proceedings of The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) (pp. 1767-1770). Association for Computing Machinery. https://doi.org/10.1145/2661829.2661891

Mottin, D., Marascu, A., Roy, S. B., Das, G., Palpanas, T. & Velegrakis, Y. (2014). IQR: An interactive query relaxation system for the empty-answer problem. In SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (pp. 1095-1098). Association for Computing Machinery. https://doi.org/10.1145/2588555.2594512

Micenková, B., McWilliams, B. & Assent, I. (2014). Learning Outlier Ensembles: The Best of Both Worlds–Supervised and Unsupervised. Paper presented at ACM SIGKDD 2014 Workshop ODD2 , New York, United States. http://outlier-analytics.org/odd14kdd/odd-2014-proceedings.pdf

Chester, S., Mortensen, M. L. & Assent, I. (2014). On the Suitability of Skyline Queries for Data Exploration. In K. S. Candan et al. (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference: 1st International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014) (pp. 161-166). CEUR-WS.org. http://ceur-ws.org/Vol-1133/paper-27.pdf

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2014). Searching with XQ: The Exemplar query search engine. In SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (pp. 901-904). Association for Computing Machinery. https://doi.org/10.1145/2588555.2594529

Magnani, M., Assent, I. & Mortensen, M. L. (2014). Taking the Big Picture: representative skylines based on significance and diversity. V L D B Journal, 23(5), 795-815. https://doi.org/10.1007/s00778-014-0352-3

Lissandrini, M., Mottin, D., Palpanas, T., Papadimitriou, D. & Velegrakis, Y. (2014). Unleashing the power of information graphs. SIGMOD Record, 43(4), 21-26.

Bøgh, K. S., Assent, I. & Magnani, M. (2013). Efficient GPU-based skyline computation. In R. Johnson & A. Kemper (Eds.), Proceedings of the Ninth International Workshop on Data Management on New Hardware , DaMoN '13 Article 5 Association for Computing Machinery. https://doi.org/10.1145/2485278.2485283

Micenková, B., Ng, R. T., Dang, X.-H. & Assent, I. (2013). Explaining outliers by subspace separability. In H. Xiong, G. Karypis, B. Thuraisingham, D. Cook & X. Wu (Eds.), Proceedings, IEEE 13th International Conference on Data Mining (ICDM 2013) (pp. 518 - 527 ). IEEE Press. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6724379

Magnani, M. & Assent, I. (2013). From stars to galaxies: skyline queries on aggregate data. In G. Guerrini & N. W. . Paton (Eds.), International Conference on Extending Database Technology (pp. 477-488 ). Association for Computing Machinery. https://doi.org/10.1145/2452376.2452432

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. 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

Displaying results 151 to 200 out of 242

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Revised 01.09.2025

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Sofia Hedegaard Rasmussen