Mohammed Issam Kabbaj

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In a business environment, many processes are performing ineffectively due to different risks. Several methods and techniques for the identification and management of risks in business processes have been proposed. Some of them originate from other domains and have been adapted to the business environment such as deviational approaches. Nevertheless, there(More)
Process mining is a set of techniques helping enterprises to avoid process modeling which is a time-consuming and error prone task. Process mining includes three topics: process discovery, conformance checking, and enhancement (IEEE Task Force on Process Mining: Process Mining Manifesto, 2012). The principle of process discovery is to extract information(More)
Business process management aims to create and develop value inside organizations. Though, business processes are exposed to different risks that may cause failures in their execution. In order to preserve this value, applying risk management principles in Business process management discipline has become a field that takes a lot of attention. Risk-aware(More)
Modeling is practically time-consuming and error-prone task. To help making process modeling easier, the use of process discovery is considered to be an efficient way to create a fitting process model. In this paper, we propose a new method for process discovery based on a process matrix representation to reduce the complexity of discovered processes.
Facing the new market challenges, service providers are looking for solutions to improve three major business areas namely the Customer Experience, the Operational Efficiency and Revenue and Margin. To meet the business requirements related to these areas, service providers are going through three major transformation programs namely the Business Support(More)
Successful business process management depends on effective Workflow design, modelling and also analysis [Sun et al. (2006)]. Many analysis techniques have been developed focusing on verification and discovery of design errors. Most of them check only the control flow perspective while ignoring data. However the role of data in the workflow is important(More)
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