DocumentCode
2450791
Title
Shannon Information Model in E-commerce Information Analysis
Author
Gang, Chen
Author_Institution
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Economic, Shanghai, China
fYear
2009
fDate
25-26 April 2009
Firstpage
580
Lastpage
583
Abstract
The concept of Shannon information entropy is introduced to area of e-commerce. Sorting of significance of attributes in database based on entropy is proposed to discover information value on e-commerce information analysis. The information entropy is also applied to integration of e-commerce to measure betimes, continuity, objectivity and comprehensiveness.
Keywords
electronic commerce; entropy; information analysis; Shannon information entropy; Shannon information model; e-commerce information analysis; information value; Artificial intelligence; Conference management; Economic forecasting; Finance; Information analysis; Information entropy; Information management; Quality management; Random variables; Uncertainty; E-Commerce; comprehensiveness; decision qualitatively and quantitatively; information Analysis; objectivi; shannon information entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.130
Filename
5159071
Link To Document