Author_Institution :
Sch. of Manage., Fujian Univ. of Traditional Chinese Med., Fuzhou, China
Abstract :
As an absolutely necessary to electronic commerce management, with the methods of path analysis, correlation analysis, analysis of sequence pattern, assortment Analysis, cluster Analysis, knowledge discovery category, Web data mining technique offers strong support of data analysis technique by extracting information from mass data of electronic commerce to enterprises. By following certain Web data mining procedures in electronic commerce management, and according to date sources by keeping to themes of electronic commerce management, carrying out web date in preprocessing, conversion, integration, knowledge discovery and mode analysis, enterprises are able to ensure the safety of network information system, improve efficiency of customer relationship management, optimize electronic commerce website construction and build up coordinate operation management system to provide decision support for electronic commerce and enable the enterprises to be with sound competitiveness in the trend of electronic commerce.
Keywords :
Internet; correlation methods; customer relationship management; data analysis; data mining; electronic commerce; pattern clustering; Web data mining technique; assortment analysis; cluster analysis; conversion; correlation analysis; customer relationship management; data analysis technique; decision support; electronic commerce Website construction; electronic commerce management; enterprise management; information extraction; integration; knowledge discovery category; mode analysis; network information system; operation management system; path analysis methods; sequence pattern analysis; Business; Collaboration; Consumer electronics; Correlation; Data mining; Data models; Electronic commerce; E-commerce management; Electronic commerce; Web data mining;
