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[Extended Abstract] A full version of this paper is available as Technical Report (12/99) Analyzing Transaction Logs for Building Coordination Models from BTU-Cottbus

Discerning Behavioral Properties by Analyzing Transaction Logs

Srinath Srinivasa1
Brandenburgische Technische Universität
Postfach 101344,
D-03013, Cottbus, Germany

Myra Spiliopoulou
Institut für Wirtschaftsinformatik
Humboldt-Universität zu Berlin,
Spandauer Str., 1, 10178 Berlin, Germany


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.

H.2.4Information SystemsSystems H.4.1Information SystemsOffice Automation[Workflow management]

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This research was supported by the German Research Society, Berlin-Brandenburg Graduate School in Distributed Information Systems (DFG grant no. GRK 316).
Srinath Srinivasa