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Boolean Matrix Decomposition by Formal Concept Sampling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73582748" target="_blank" >RIV/61989592:15310/17:73582748 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3132847.3133054" target="_blank" >http://dx.doi.org/10.1145/3132847.3133054</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3132847.3133054" target="_blank" >10.1145/3132847.3133054</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Boolean Matrix Decomposition by Formal Concept Sampling

  • Original language description

    Finding interesting patterns is a classical problem in data mining. Boolean matrix decomposition is nowadays a standard tool that can find a set of patterns-also called factors-in Boolean data that explain the data well. We describe and experimentally evaluate a probabilistic algorithm for Boolean matrix decomposition problem. The algorithm is derived from GreCon algorithm which uses formal concepts-maximal rectangles or tiles-as factors in order to find a decomposition. We change the core of GreCon by substituting a sampling procedure for a deterministic computation of suitable formal concepts. This allows us to alleviate the greedy nature of GreCon, creates a possibility to bypass some of the its pitfalls and to preserve its features, e.g. an ability to explain the entire data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2017 ACM on Conference on Information and Knowledge Management

  • ISBN

    978-1-4503-4918-5

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    2243-2246

  • Publisher name

    ACM New York

  • Place of publication

    New York

  • Event location

    Singapur

  • Event date

    Nov 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article