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The 8M Algorithm from Today's Perspective

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607787" target="_blank" >RIV/61989592:15310/21:73607787 - isvavai.cz</a>

  • Result on the web

    <a href="https://obd.upol.cz/id_publ/333187673" target="_blank" >https://obd.upol.cz/id_publ/333187673</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3428078" target="_blank" >10.1145/3428078</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The 8M Algorithm from Today's Perspective

  • Original language description

    We provide a detailed analysis and a first complete description of 8M-an old but virtually unknown algorithm for Boolean matrix factorization. Even though the algorithm uses a rather limited insight into the factorization problem from today&apos;s perspective, we demonstrate that its performance is reasonably good compared to the currently available algorithms. Our analysis reveals that this is due to certain concepts employed by 8M that are not exploited by the current algorithms. We discuss the prospect of these concepts, utilize them to improve two well-known current factorization algorithms, and, furthermore, propose an improvement of 8M itself, which significantly enhances the performance of the original 8M. Our findings are illustrated by experimental evaluation.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ACM Transactions on Knowledge Discovery from Data

  • ISSN

    1556-4681

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    "22-1"-"22-22"

  • UT code for WoS article

    000639049700009

  • EID of the result in the Scopus database

    2-s2.0-85103942655