By Alistair Sutcliffe (auth.), Eric Dubois, Klaus Pohl (eds.)
This publication constitutes the refereed complaints of the 18th foreign convention on complex details platforms Engineering, CAiSE 2006, held in Luxembourg, Luxembourg in June 2006.
The 33 revised complete papers awarded including three keynote talks have been rigorously reviewed and chosen from 189 submissions. The papers are equipped in topical sections on safety, conceptual modelling, queries, rfile conceptualization, carrier composition, workflow, enterprise modelling, configuration and separation, enterprise procedure modelling, agent orientation, and standards management.
Read Online or Download Advanced Information Systems Engineering: 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006. Proceedings PDF
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Extra resources for Advanced Information Systems Engineering: 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006. Proceedings
55 (1984), 81-105 11. : Trust: The Connecting Link Between Organizational Theory and Philosophical Ethics. Academy of Management Review, Vol. 20, (1995) 379–403. 12. : The Psychology of Everyday Things. 13. , Sitkin, S. : Not So Different After All: A Cross-Discipline View of Trust. The Academy of Management Review, Vol. 23, No. 3 (1998) 393-404 14. Kim, J. Towards the Construction of Customer Interfaces for Cyber-Shopping Malls. Electronic Markets, Vol. 7, No. 2 (1997) 12-15 15. Egger, F. : Consumer Trust in E-Commerce: From Psychology to Interaction Design.
6, No. 2, (2001) 35–59 7. Tschannen-Moran, M. and Hoy, W. : A conceptual and empirical analysis of trust in schools. Review of Educational Research, Vol. 71 (2000) 547-593. 8. Urban, G. L. The Trust Imperative. MIT Sloan School of Management Working Paper 4302-03 (2003) 9. Constantine, L. , and Lockwood, L. A. : Instructive Interaction: Making Innovative Interfaces Self-Teaching. User Experience, Vol. 1, No. 3, Winter (2002) 10. Butler, J. K. : A Behavioral Decision Theory Approach to Modeling Dyadic Trust in Superiors and Subordinates.
Fraud may have many guises, be that of (a) individual public administrators abusing their access authority on potential system loopholes, (b) multiple public administrators colluding in an institutionalised privilege, or (c) collusion between public administrators and outsiders. In order to deal with fraud, a Public Organisation must identify and evaluate which fraud cases could be potentially conducted through its Information Systems. We address the need to monitor and fight fraud in an intelligent and continuous way by employing the process of Data Mining.
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