• DocumentCode
    518611
  • Title

    Algorithm with database technology for computing the core based on Skowron´s discernibility matrix

  • Author

    Wei, Guiying

  • Author_Institution
    Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    Designing efficient algorithm for computing the core of decision table is a very meaningful work because the core is the foundation of constructing attribute reduction of the decision table and multi-variable decision tree. To improve the efficiency of the algorithm for computing the core based on Skowron´s discernibility matrix with database technology, the new simplified decision table of the old decision table is defined. And it is proved that the core of the new simplified decision table based on positive region is the same as the core of the old one based on Skowron´s discernibility matrix. Then an efficient algorithm is proposed for computing the new simplicity decision table. On this condition, an efficient algorithm for computing the core based on Skowron´s disceribility matrix by using database technology is designed. At the end, an example is used to illustrate the efficiency of the new algorithm.
  • Keywords
    computational complexity; database theory; decision tables; decision trees; matrix algebra; rough set theory; Skowron discernibility matrix; database technology; decision table core attribute reduction; multivariable decision tree; time complexity; Algorithm design and analysis; Computational complexity; Data mining; Databases; Decision trees; Expert systems; Machine learning algorithms; Paper technology; Set theory; Technology management; complexity; core; database; discernibility matrix; simplified decision table;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486650
  • Filename
    5486650