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An efficient method for mining sequential patterns with indices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63549719" target="_blank" >RIV/70883521:28140/22:63549719 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0950705121010832" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705121010832</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.knosys.2021.107946" target="_blank" >10.1016/j.knosys.2021.107946</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An efficient method for mining sequential patterns with indices

  • Original language description

    In recent years, mining informative data and discovering hidden information have become increasingly in demand. One of the popular means to achieve this is sequential pattern mining, which is to find informative patterns stored in databases. Its applications cover different areas and many methods have been proposed. Recently, pseudo-IDLists were proposed to improve both runtime and memory usage in the mining process. However, the idea cannot be directly used for sequential pattern mining as it only works on clickstream patterns, a more distinct type of sequential pattern. We propose adaptations and changes to the original idea to introduce SUI (Sequential pattern mining Using Indices). Comparing SUI with two other state-of-the-art algorithms on six test databases, we show that SUI has effective and efficient performance and memory usage.

  • 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

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

    Knowledge-Based Systems

  • ISSN

    0950-7051

  • e-ISSN

    1872-7409

  • Volume of the periodical

    239

  • Issue of the periodical within the volume

    Neuveden

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    000788633300001

  • EID of the result in the Scopus database

    2-s2.0-85122511875