Computer-based support for clinical protocols or guidelines is currently a subject of a lot of interest within the Healthcare Informatics community. The Event-Condition-Action (ECA) rule paradigm, as supported in active databases and originating from production rules in expert systems, promises to be of great potential in supporting clinical protocols or guidelines. The problem being addressed ...

Embedded systems operating on high data workloads are becoming pervasive. ECA rule engines provide a flexible environment to support the management, reconfiguration and execution of business rules. However, modeling the performance of a rule engine is challenging because of its reactive nature. In this work we present the performance analysis of an ECA rule engine in the context of a supply cha...

Using Rule 126 elementary cellular automaton (ECA) we demonstrate that a chaotic discrete system — when enriched with memory – hence exhibits complex dynamics where such space exploits on an ample universe of periodic patterns induced from original information of the ahistorical system. First we analyse classic ECA Rule 126 to identify basic characteristics with mean field theory, basins, and d...

Event-condition-action (ECA) rules can specify decision processes and are widely used in reactive systems and active database systems. Applying formal verification techniques to guarantee properties of the designed ECA rules is essential to help the error-prone procedure of collecting and translating expert knowledge. However, while the nondeterministic and concurrent semantics of ECA rule exec...

Active database management systems(ADBMS) uses Event-Condition-Action rules (ECA rules). Each ECA rule speciies what action to be taken when an event occurs and the speciied condition is satissed. In this paper, we introduce a concurrency control scheme for handling nested cooperative transactions using detached mode ECA rules of an ADBMS. A state transition model has been proposed to specify d...

Event-condition-action (ECA) rules specify a decision making process and are widely used in reactive systems and active database systems. Applying formal verification techniques to guarantee properties of the designed ECA rules is essential to help the error-prone procedure of collecting and translating expert knowledge. The nondeterministic and concurrent semantics of ECA rule execution enhanc...

Event-Condition-Action (ECA) rules offer a flexible, adaptive, and modular approach to realizing business processes. This article discusses the use of ECA rules for describing business processes in an executable manner. It investigates the benefits one hopes to derive from using ECA rules and presents the challenges in realizing business processes. These constitute a list of requirements for an...

Knowledge systems are characterized by being active, uncertain and adaptive in pervasive computing environments, and Fuzzy Event-Condition-Action (ECA) rules can effectively describe these features of knowledge systems. To analyze the static structure and dynamic behavior of fuzzy ECA rules, a fuzzy colored time Petri net model (FCTPN) is proposed. The FCTPN is able to model the fuzzy ECA rules...

This paper proposes the automated translation of rules extracted from data mining or knowledge discovery tools into active database rules. We term this process of translating a knowledge discovery rule and incorporating it into a database schema in the form of an ECA (eventcondition-action) rule as database schema refinement. We introduce a new rule identification measure for categorising knowl...

Event detection is the rst and the most important step for Event-Condition-Action (ECA) rule execution in active database systems. Composite event detection is not easy for most existing active database systems. In this paper, a Conditional Colored Petri Net model (CCPN) is proposed for composite events speci cation and detection. Composite events are detected by checking composite transition e...