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Cardinality-limiting extended pre-aggregation functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73609812" target="_blank" >RIV/61989592:15310/21:73609812 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1566253521001044" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1566253521001044</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.inffus.2021.05.004" target="_blank" >10.1016/j.inffus.2021.05.004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cardinality-limiting extended pre-aggregation functions

  • Original language description

    Aggregation functions, which are at the heart of a number of information fusion processes, allow summarization of multiple inputs into a single representative value. Extended aggregation functions are defined such that the input data can be of varying cardinality, with the implication that there is some consistency across the methods of calculation. This article formalizes an approach to extended aggregation such that contributions of repeated inputs or regions of high density are limited in their ability to influence the final value. We establish important definitions and properties, in particular around whether such functions will be monotone or directionally monotone. We then propose a powerful construction method for extended pre-aggregation functions. Illustrative examples are provided throughout.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Information Fusion

  • ISSN

    1566-2535

  • e-ISSN

  • Volume of the periodical

    76

  • Issue of the periodical within the volume

    DEC

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

    66-74

  • UT code for WoS article

    000694861300007

  • EID of the result in the Scopus database

    2-s2.0-85107030987