Expert system for data identification in auction system along with market trends analysis
This article describes the expert strategic approach for obtaining the strategic information from the auction system. It discusses the basic problem such as identification of the auctions and here it concerns the items set to sale on the auction system. The expert rules are compiled and dynamically adjusted on basis of the defined parameters, keywords, price range and tracking of historical price trends. These rules assign the unique identifiers to the separate commodities. Data obtained this way are then subsequently used to monitor the price of the commodity or the commodity group. The article describes both the theoretical and technical realization of the expert system with using the open source components. Possibilities for further development and use of the collected data are also discussed. It describes the method of importing data into the public system. The data are then processed into graphs and tables watching market trends and development. The information is used for modeling the portfolio of e-commerce customer.
component expert system auction analysis data mining rules based reasoning commemorative coins
Radoslav Fasuga Tomas Drabek Galina Toporkova Libor Holub
Department of Computer Science, FEECS V(S)B- Technical University of Ostrava Ostrava, Czech Republic
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
36-41
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）