Adaptive EIS with Business Rules Discovered by Formal Concept Analysis

Abstract : Business rules component became essential part of such software as ORACLE, SAP, IBM and Microsoft and this fact signifies new stage in the Enterprise Information Systems development and applications. The efficiency of application such new tools depends from business rules development technology. The new generation of ЕIS software requires not only deployment strategy, but also tools for extracting business rules from description of existing practice. Along with manual business rules extraction from mountains of documents there exists the possibility to apply data mining technology based on formal concept analysis. In this paper we are presenting, how supplier and customers data, being accumulated in data base, may be used in CRM system for fitting services and relations to customer and supplier profile.
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Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Charles Møller; Sohail Chaudhry. 5th Working Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2011, Aalborg, Denmark. Springer, Lecture Notes in Business Information Processing, LNBIP-105, pp.105-117, 2012, Re-conceptualizing Enterprise Information Systems. 〈10.1007/978-3-642-28827-2_8〉
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Victor Romanov, Alina Poluektova, Olga Sergienko. Adaptive EIS with Business Rules Discovered by Formal Concept Analysis. Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Charles Møller; Sohail Chaudhry. 5th Working Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2011, Aalborg, Denmark. Springer, Lecture Notes in Business Information Processing, LNBIP-105, pp.105-117, 2012, Re-conceptualizing Enterprise Information Systems. 〈10.1007/978-3-642-28827-2_8〉. 〈hal-01483875〉

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