Search Results - "Kriegel, Peter"

Refine Results
  1. 1

    A survey on unsupervised outlier detection in high-dimensional numerical data by Zimek, Arthur, Schubert, Erich, Kriegel, Hans-Peter

    Published in Statistical analysis and data mining (01-10-2012)
    “…High‐dimensional data in Euclidean space pose special challenges to data mining algorithms. These challenges are often indiscriminately subsumed under the term…”
    Get full text
    Journal Article
  2. 2

    The (black) art of runtime evaluation: Are we comparing algorithms or implementations? by Kriegel, Hans-Peter, Schubert, Erich, Zimek, Arthur

    Published in Knowledge and information systems (01-08-2017)
    “…Any paper proposing a new algorithm should come with an evaluation of efficiency and scalability (particularly when we are designing methods for “big data”)…”
    Get full text
    Journal Article
  3. 3

    Density-based clustering by Kriegel, Hans-Peter, Kröger, Peer, Sander, Jörg, Zimek, Arthur

    “…Clustering refers to the task of identifying groups or clusters in a data set. In density‐based clustering, a cluster is a set of data objects spread in the…”
    Get full text
    Journal Article
  4. 4

    Integrating structured biological data by Kernel Maximum Mean Discrepancy by Borgwardt, Karsten M., Gretton, Arthur, Rasch, Malte J., Kriegel, Hans-Peter, Schölkopf, Bernhard, Smola, Alex J.

    Published in Bioinformatics (15-07-2006)
    “…Motivation: Many problems in data integration in bioinformatics can be posed as one common question: Are two sets of observations generated by the same…”
    Get full text
    Journal Article
  5. 5

    Extraction of semantic biomedical relations from text using conditional random fields by Bundschus, Markus, Dejori, Mathaeus, Stetter, Martin, Tresp, Volker, Kriegel, Hans-Peter

    Published in BMC bioinformatics (23-04-2008)
    “…The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Conifers and non-native tree species shift trophic niches of generalist arthropod predators in Central European beech forests by Wildermuth, Benjamin, Fardiansah, Riko, Matevski, Dragan, Lu, Jing-Zhong, Kriegel, Peter, Scheu, Stefan, Schuldt, Andreas

    Published in BMC ecology and evolution (03-02-2023)
    “…Functional diversity is vital for forest ecosystem resilience in times of climate-induced forest diebacks. Admixing drought resistant non-native Douglas fir,…”
    Get full text
    Journal Article
  8. 8
  9. 9
  10. 10

    Subspace clustering by Kriegel, Hans-Peter, Kröger, Peer, Zimek, Arthur

    “…Subspace clustering refers to the task of identifying clusters of similar objects or data records (vectors) where the similarity is defined with respect to a…”
    Get full text
    Journal Article
  11. 11

    Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection by Schubert, Erich, Zimek, Arthur, Kriegel, Hans-Peter

    “…Outlier detection research has been seeing many new algorithms every year that often appear to be only slightly different from existing methods along with some…”
    Get full text
    Journal Article
  12. 12
  13. 13

    Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications by Sander, Jörg, Martin, Ester, Kriegel, Hans-Peter, Xu, Xiaowei

    Published in Data mining and knowledge discovery (01-06-1998)
    “…The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish…”
    Get full text
    Journal Article
  14. 14

    Discriminative frequent subgraph mining with optimality guarantees by Thoma, Marisa, Cheng, Hong, Gretton, Arthur, Han, Jiawei, Kriegel, Hans-Peter, Smola, Alex, Song, Le, Yu, Philip S., Yan, Xifeng, Borgwardt, Karsten M.

    Published in Statistical analysis and data mining (01-10-2010)
    “…The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested…”
    Get full text
    Journal Article
  15. 15
  16. 16

    Protein function prediction via graph kernels by Borgwardt, Karsten M., Ong, Cheng Soon, Schönauer, Stefan, Vishwanathan, S. V. N., Smola, Alex J., Kriegel, Hans-Peter

    Published in Bioinformatics (01-06-2005)
    “…Motivation: Computational approaches to protein function prediction infer protein function by finding proteins with similar sequence, structure, surface…”
    Get full text
    Journal Article
  17. 17

    Route skyline queries: A multi-preference path planning approach by Kriegel, Hans-Peter, Renz, Matthias, Schubert, Matthias

    “…In recent years, the research community introduced various methods for processing skyline queries in multidimensional databases. The skyline operator retrieves…”
    Get full text
    Conference Proceeding
  18. 18

    Monoculture and mixture-planting of non-native Douglas fir alters species composition, but promotes the diversity of ground beetles in a temperate forest system by Kriegel, Peter, Matevski, Dragan, Schuldt, Andreas

    Published in Biodiversity and conservation (01-04-2021)
    “…Planting non-native tree species, like Douglas fir in temperate European forest systems, is encouraged to mitigate effects of climate change. However, Douglas…”
    Get full text
    Journal Article
  19. 19

    Scalable Probabilistic Similarity Ranking in Uncertain Databases by Bernecker, Thomas, Kriegel, Hans-Peter, Mamoulis, Nikos, Renz, Matthias, Zuefle, Andreas

    “…This paper introduces a scalable approach for probabilistic top-k similarity ranking on uncertain vector data. Each uncertain object is represented by a set of…”
    Get full text
    Journal Article
  20. 20

    Non-native Douglas fir (Pseudotsuga menziesii) promotes sentinel prey attack rates in Central European forests by Matevski, Dragan, Glatthorn, Jonas, Kriegel, Peter, Schuldt, Andreas

    Published in Forest ecology and management (01-06-2021)
    “…•Epigeic arthropod predators have lower abundance and biomass in Douglas fir.•Unexpectedly, stands with higher Douglas fir proportion had higher predation…”
    Get full text
    Journal Article