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
Link To Document :
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