Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Business Rules Applied: Building Better Systems Using the Business Rules Approach
Business Rules Applied: Building Better Systems Using the Business Rules Approach
Principles of the Business Rule Approach
Principles of the Business Rule Approach
Modeling of business rules for active database application specification
Advanced topics in database research vol. 1
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Finding Structure in Unstructured Processes: The Case for Process Mining
ACSD '07 Proceedings of the Seventh International Conference on Application of Concurrency to System Design
An outlook on semantic business process mining and monitoring
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Recovering business rules from legacy source code for system modernization
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Process mining and verification of properties: an approach based on temporal logic
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
BPM'06 Proceedings of the 4th international conference on Business Process Management
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Business Rules guide the performance of an organization and its documentation offers an important source of information for generating and maintaining technological models, restrictions and other structures in database systems. Despite its importance, it is very difficult to maintain up-to-date documentation of current business rules that are implemented in the information systems of an organization. This paper describes the research on an automatic method for business rules discovery based on process mining techniques. The proposed method extracts a set of relevant information from information systems execution logs, and builds a set of current ('As Is') business rules for the user.