• DocumentCode
    2188652
  • Title

    Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines

  • Author

    Lee, Jong Bum ; Piao, Minghao ; Ryu, Keun Ho

  • Author_Institution
    Database/Bioinf. Lab., Chungbuk Nat. Univ., Cheongju, South Korea
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    1424
  • Lastpage
    1429
  • Abstract
    In this paper, we proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within limitation of memory. Especially, the concept of pre-infrequent patterns pruning and use of two different minimum supports, it made the algorithm be possible to mine most emerging patterns and handle the problem of mining from incrementally increased, large size of data sets. We also defined and analyzed the significant difference of safe and non-safe power load lines and identify which line is potentially non-safe by using those emerging patterns.
  • Keywords
    data mining; pattern classification; power engineering computing; power transmission lines; tree data structures; data set; emerging pattern mining; incremental TFP-tree algorithm; nonsafe power load line identification; pre-infrequent pattern pruning; safe power load line identification; Aggregates; Algorithm design and analysis; Classification algorithms; Construction industry; Data mining; Itemsets; Emerging Patterns; TFP-tree; incremental mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Bradford
  • Print_ISBN
    978-1-4244-7547-6
  • Type

    conf

  • DOI
    10.1109/CIT.2010.255
  • Filename
    5577832