publications


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selected publications

  • KS Bøgh, S Chester, D Šidlauskas, I Assent: Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures, ACM SIGMOD, 2017.
  • MT Son, I Assent, M Storgaard: AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets. ACM SIGKDD, 2016.
  • KS Bøgh, S Chester, I Assent: SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures, VLDB J 25 (6), 2016.
  • KS Bøgh, S Chester, I Assent: Work-efficient parallel skyline computation for the GPU, PVLDB 8 (9), 2015.
  • S Chester, D Šidlauskas, I Assent, KS Bøgh: Scalable parallelization of skyline computation for multi-core processors, IEEE ICDE, 2015
  • M Magnani, I Assent, ML Mortensen: Taking the Big Picture: representative skylines based on significance and diversity, VLDB J 23 (5), 2014.
  • XH Dang, I Assent, RT Ng, A Zimek, E Schubert: Discriminative features for identifying and interpreting outliers, IEEE ICDE, 2014.
  • B Micenková, RT Ng, XH Dang, I Assent: Explaining outliers by subspace separability, IEEE ICDM, 2013.
  • XH Dang, B Micenková, I Assent, RT Ng: Local outlier detection with interpretation, PKDD 2014.
  • XH Dang, B Micenková, I Assent, R Ng: Outlier detection with space transformation and spectral analysis, SIAM SDM, 2013.
  • E Müller, I Assent, P Iglesias, Y Mülle, K Böhm: Outlier ranking via subspace analysis in multiple views of the data, IEEE ICDM, 2012.
  • E Müller, I Assent, S Günnemann, T Seidl: Scalable Density-Based Subspace Clustering, ACM CIKM, 2011.
  • S Günnemann, I Färber, E Müller, I Assent, T Seidl: External Evaluation Measures for Subspace Clustering, ACM CIKM 2011.
  • P Kranen, I Assent, C Baldauf, T Seidl: The ClusTree: Indexing Micro-Clusters for Anytime Stream Mining, KAIS, 2011.
  • ML Yiu, I Assent, CS Jensen, P Kalnis: Outsourced Similarity Search on Metric Data Assets, IEEE TKDE 24 (2), 2011.
  • P Kranen, I Assent, C Baldauf, T Seidl: Self-Adaptive Anytime Stream Clustering, IEEE ICDM 2009.
  • E Müller, I Assent, S Günnemann, R Krieger, T Seidl: Relevant Subspace Clustering: Mining the Most Interesting Non-Redundant Concepts in High-Dimensional Data, IEEE ICDM 2009.
  • I Assent, M Wichterich, R Krieger, H Kremer, T Seidl: Anticipatory DTW for Efficient Similarity Search in Time Series Databases, Proc. VLDB 2009.
  • E Müller, S Günnemann, I Assent, T Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data, PVLDB, 2009.
  • E Müller, I Assent, R Krieger, S Günnemann, T Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces, SIAM SDM, 2009.
  • I Assent, R Krieger, E Müller, T Seidl: INSCY: indexing subspace clusters with in-process-removal of redundancy, IEEE ICDM, 2008.
  • I Assent, R Krieger, B Glavic, T Seidl: Clustering Multidimensional Sequences in Spatial and Temporal Databases, KAIS 16 (1), 2008.
  • M Wichterich, I Assent, P Kranen, T Seidl: Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction, ACM SIGMOD, 2008.
  • I Assent, M Wichterich, T Meisen, T Seidl: Efficient Similarity Search Using the Earth Mover's Distance for Large Multimedia Databases, IEEE ICDE, 2008.
  • I Assent, R Krieger, F Afschari, T Seidl: The TS-Tree: Efficient Time Series Search and Retrieval, EDBT, 2008.
  • I Assent, R Krieger, E Müller, T Seidl: EDSC: Efficient Density-Based Subspace Clustering, ACM CIKM, 2008.
  • I Assent, A Wenning, T Seidl: Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases, IEEE ICDE, 2006.