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  • 1
    UID:
    b3kat_BV047552495
    Format: 1 Online-Ressource (XX, 217 p. 71 illus., 47 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9783030869823
    Series Statement: Lecture Notes in Artificial Intelligence 12879
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-86981-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-86983-0
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Information Retrieval ; Wissensextraktion ; Ontologie ; Semantic Web ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    b3kat_BV047389649
    Format: 1 Online-Ressource (xvi, 291 Seiten) , 70 Illustrationen, 35 in Farbe
    ISBN: 9783030778675
    Series Statement: Lecture notes in computer science 12733
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-77866-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-77868-2
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Künstliche Intelligenz ; Data Mining ; Anwendungssoftware ; Formale Begriffsanalyse ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    gbv_1761809652
    Format: 1 Online-Ressource(XVI, 291 p. 70 illus., 35 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030778675
    Series Statement: Lecture Notes in Artificial Intelligence 12733
    Content: Representing partition lattices through FCA -- Fixed-Point Semantics for Barebone Relational Concept Analysis -- Boolean Substructures in Formal Concept Analysis -- Enumerating Maximal Consistent Closed Sets in Closure Systems -- A new Kind of Implication to Reason with Unknown Information -- Pruning Techniques in LinCbO for Computation of the Duquenne-Guigues Basis -- Approximate Computation of Exact Association Rules -- An Incremental Recomputation of From-Below Boolean Matrix Factorization -- Clustering and Identification of Core Implications for Grouping Objects -- Extracting Relations in Texts with Concepts of Neighbours -- Triadic Exploration and Exploration with Multiple Experts -- Towards Interactive Transition from AOC Poset to Concept Lattice -- Visualization of Statistical Information in Concept Lattice Diagrams -- Force-Directed Layout of Order Diagrams Using Dimensional Reduction -- Sandwich: an Algorithm for Discovering Relevant Link Keys in an LKPS Concept Lattice -- Decision Concept Lattice vs Decision Trees and Random Forests -- Exploring Scale-Measures of Data Sets -- Filters, Ideals and Congruence on Double Boolean Algebras -- Diagrammatic Representations of Conceptual Structures.
    Content: This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part of this volume is divided in five different sections. First, "Theory" contains compiled works that discuss advances on theoretical aspects of FCA. Second, the section "Rules" consists of contributions devoted to implications and association rules. The third section "Methods and Applications" is composed of results that are concerned with new algorithms and their applications. "Exploration and Visualization" introduces different approaches to data exploration.
    Additional Edition: ISBN 9783030778668
    Additional Edition: ISBN 9783030778682
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030778668
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030778682
    Language: English
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  • 4
    UID:
    edochu_18452_27902
    Format: 1 Online-Ressource (22 Seiten)
    ISSN: 0138-9130 , 0138-9130
    Content: Creation and exchange of knowledge depends on collaboration. Recent work has suggested that the emergence of collaboration frequently relies on geographic proximity. However, being co-located tends to be associated with other dimensions of proximity, such as social ties or a shared organizational environment. To account for such factors, multiple dimensions of proximity have been proposed, including cognitive, institutional, organizational, social and geographical proximity. Since they strongly interrelate, disentangling these dimensions and their respective impact on collaboration is challenging. To address this issue, we propose various methods for measuring different dimensions of proximity. We then present an approach to compare and rank them with respect to the extent to which they indicate co-publications and co-inventions. We adapt the HypTrails approach, which was originally developed to explain human navigation, to co-author and co-inventor graphs. We evaluate this approach on a subset of the German research community, specifically academic authors and inventors active in research on artificial intelligence (AI). We find that social proximity and cognitive proximity are more important for the emergence of collaboration than geographic proximity.
    Content: Peer Reviewed
    In: Dordrecht [u.a.] : Springer Science + Business Media B.V, 126,12, Seiten 9847-9868, 0138-9130
    Language: English
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    edochu_18452_29383
    Format: 1 Online-Ressource (13 Seiten)
    ISSN: 0022-0477 , 0022-0477
    Content: 1. The effects of selection on an organism's genome are hard to detect on small spatial scales, as gene flow can swamp signatures of local adaptation. Therefore, most genome scans to detect signatures of environmental selection are performed on large spatial scales; however, divergent selection on the local scale (e.g. between contrasting soil conditions) has also been demonstrated, in particular for herbaceous plants. 2. Here, we hypothesised that in topographically complex landscapes, microenvironment variability is strong enough to leave a selective footprint in the genomes of long-lived organisms. To test this, we investigated paired south- versus north-facing Pinus pinaster stands on the local scale, with trees growing in close vicinity (≤820 m distance between paired south- and north-facing stands), in a Mediterranean mountain area. While trees on north-facing slopes experience less radiation, trees on south-facing slopes suffer from especially harsh conditions, particularly during the dry summer season. 3. Two outlier analyses consistently revealed five putatively adaptive loci (out of 4034), in candidate genes two of which encoded non-synonymous substitutions. Additionally, one locus showed consistent allele frequency differences in all three stand pairs indicating divergent selection despite high gene flow on the local scale. Permutation tests demonstrated that our findings were robust. 4. Functional annotation of these candidate genes revealed biological functions related to abiotic stress response, such as water availability, in other plant species. 5. Synthesis. Our study highlights how divergent selection in heterogeneous microenvironments shapes and maintains the functional genetic variation within populations of long-lived forest tree species, being the first to focus on adaptive genetic divergence between south- and north-facing slopes within continuous forest stands. This is especially relevant in the current context of climate change, as this variation is at the base of plant population responses to future climate.
    Content: Peer Reviewed
    In: Oxford [u.a.] : Wiley-Blackwell, 112,2, Seiten 278-290, 0022-0477
    Language: English
    URL: Volltext  (kostenfrei)
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