Title :
Shannon Information Model in E-commerce Information Analysis
Author_Institution :
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Economic, Shanghai, China
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.130
