• DocumentCode
    514659
  • Title

    Association Rule Mining Analysis on Concept Lattice and Rough Set

  • Author

    Wang, Dexing ; Cui, Lixia ; Wang, Yanhua ; Zhang, Jian

  • Author_Institution
    Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.
  • Keywords
    data mining; rough set theory; Hasse diagram; association rule mining analysis; concept lattice; data mining; databases; decision tables; knowledge acquisition; rough set; Association rules; Computer science education; Data mining; Educational institutions; Information technology; Knowledge acquisition; Lattices; Oceans; Testing; Transaction databases; association rule; concept lattice; data mining; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.545
  • Filename
    5458707