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Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241899" target="_blank" >RIV/61989100:27240/18:10241899 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-319-67220-5_18" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-67220-5_18</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-67220-5_18" target="_blank" >10.1007/978-3-319-67220-5_18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases

  • Original language description

    Constraint-based methods for mining patterns have been developed in recent years. They are based on top-down manner to prune candidate patterns. However, for colossal pattern mining, bottom-up manners are efficient methods, so the previous approaches for pruning candidate patterns based on top-down manner cannot apply to colossal pattern mining with constraint when using bottom-up manner. In this paper, we state the problem of mining colossal pattern with pattern constraints. Next, we develop a theorem for efficient pruning candidate patterns with bottom-up manner. Finally, we propose an efficient algorithm for mining colossal patterns with pattern constraints based on this theorem.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 655

  • ISBN

    978-3-319-67219-9

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    10

  • Pages from-to

    195-204

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Szklarska Poręba

  • Event date

    Sep 17, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000452449500018