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Pruning techniques in LinCbO for the computation of the Duquenne-Guigues basis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73615079" target="_blank" >RIV/61989592:15310/22:73615079 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S002002552201180X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S002002552201180X</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ins.2022.10.057" target="_blank" >10.1016/j.ins.2022.10.057</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pruning techniques in LinCbO for the computation of the Duquenne-Guigues basis

  • Original language description

    In our previous work, we introduced LinCbO-an algorithm for fast computation of the Duquenne-Guigues basis based on Close-by-One and LinClosure. We also proposed addi-tional speed-ups using pruning techniques, like those used in FCbO, In-Close, or LCM. In the present work, we describe the pruning techniques for LinCbO and experimentally eval-uate their effect. Additionally, we describe and evaluate algorithms using a similar idea to LinCbO but using naive closure or Wild&apos;s closure instead of the LinClosure. According to our extensive experimental evaluation, LinCbO with pruning techniques performs significantly faster than already known algorithms. The differences between the performance of the four pruning techniques seem negligible.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    INFORMATION SCIENCES

  • ISSN

    0020-0255

  • e-ISSN

    1872-6291

  • Volume of the periodical

    616

  • Issue of the periodical within the volume

    NOV

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    182-203

  • UT code for WoS article

    000880754700011

  • EID of the result in the Scopus database

    2-s2.0-85140487193