• DocumentCode
    1850355
  • Title

    2D-Barcode: A Visible Point Cloud Structure Descriptor Application for Mining the Enron Executives Organization Structures

  • Author

    Zhao Yan ; Yi Dongyun ; Zhao Chengli ; Cui Jing ; Sun Kang

  • Author_Institution
    Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Tech., Changsha, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    1675
  • Lastpage
    1678
  • Abstract
    A kind of descriptor for depicting the Point Cloud Structure is Carlsson´s 1D-Barcode. This paper puts forward a brand new Point Cloud Descriptor: 2D-Barcode, which promotes the Barcode´s dimension from 1 to 2 and results in containing much more structure information and visible. By proposing a new method of constructing the relationships among the organization based on the content instead of correspond, the structures showed by 2D-Barcode in mining the Enron executives´ organization are meaningful and significant, such as the Structure of Enron Senior Executives and the Structure of the Californian Energy Crisis. Meanwhile, we analyze the Enron scandal criminal by the 2D-Barcode and discover the small-middle-scale law in the criminal distribution. This law may guide us in seeking the important people in the organization. In brief, the 2D-Barcode is a visible and effective descriptor for depicting the point cloud structure.
  • Keywords
    bar codes; cloud computing; data mining; data structures; organisational aspects; 2D-Barcode; Enron executives organization structures; Enron scandal criminal; Structure of the Californian Energy Crisis; small-middle-scale law; visible point cloud structure descriptor; Bar codes; Databases; Electronic mail; Image color analysis; Organizations; Sun; Topology; 2D-Barcode; Descriptor; Enron Email Database; Point Cloud Structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.437
  • Filename
    6643356