Discerning behavioral properties by analyzing transaction logs

Abstract

Tasks like supply chain management, design of interorganizational workflow and design of virtual organizations or consortia, require mechanisms to analyze interaction requirements spanning across autonomous organizations. While existing means of analysis would help in identifying pertinent actors and interactions among them, properties which could manifest by virtue of the interactions themselves may go undetected. In this paper, we present an approach that looks for properties of a given problem domain which manifest due to the interactions that take place in the domain. As a specific application, we use data mining to look for knowledge about emergent properties from transaction data among a set of autonomous organizations, so as to design inter-organizational workflow and logistics among the organizations. © 2000 ACM.