Title :
Integrating Context-Aware and Fuzzy Rule to Data Mining Model for Supply Chain Finance Cooperative Systems
Author_Institution :
Sch. of Manage., Shanghai Univ., Shanghai, China
Abstract :
This paper proposes a context aware and fuzzy rule data mining model for enterprise supply chain finance cooperative system that interacts with bank, buyer and supplier. It consists of three main components. The first component is the model for enterprise supply chain finance cooperative systems with cooperative agents serving as the simulation representatives of bank, buyer and supplier communicating with each other over the company´s network. In the second component, context aware and fuzzy rule data mining model is proposed based on the simulation model for the enterprise supply chain finance cooperative systems. The third component is a simulation system which has been designed and implemented for the context aware and fuzzy rule data mining methodology.
Keywords :
cooperative systems; data mining; finance; fuzzy set theory; supply chains; ubiquitous computing; bank simulation representative; buyer-supplier communication; context aware integration; cooperative agent; data mining model; fuzzy rule integration; supply chain finance cooperative system; Conference management; Context modeling; Context-aware services; Control systems; Cooperative systems; Data mining; Finance; Fuzzy systems; Software engineering; Supply chains; Context-aware data mining; Data warehousing; Fuzzy rule; Simulation.; Supply Chain Finance Cooperative System;
Conference_Titel :
Software Engineering Advances, 2009. ICSEA '09. Fourth International Conference on
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4779-4
Electronic_ISBN :
978-0-7695-3777-1
DOI :
10.1109/ICSEA.2009.75
