Towards comprehensive support for organizational mining

By Minseok Song, Wil M.P. van der Aalst. Decision Support Systems, 2008

385 citations recorded by the source corpus.

Process mining has emerged as a way to analyze processes based on the event logs of the systems that support them. Today's information systems (e.g., ERP systems) log all kinds of events. Moreover, also embedded systems (e.g., medical equipment, copiers, and other high-tech systems) start producing detailed event logs. The omnipresence of event logs is an important enabler for process mining. The primary goal of process mining is to extract knowledge from these logs and use it for a detailed analysis of reality. Lion's share of the efforts in this domain has been devoted to control-flow discovery. Many algorithms have been proposed to construct a process model based on an analysis of the event sequences observed in the log. As a result, other aspects have been neglected, e.g., the organizational setting and interactions among coworkers. Therefore, we focus on organizational mining. We will present techniques to discover organizational models and social networks and show how these models can assist in improving the underlying processes. To do this, we present new process mining techniques but also use existing techniques in an innovative manner. The approach has been implemented in the context of the ProM framework and has been applied in various case studies. In this paper, we demonstrate the applicability of our techniques by analyzing the logs of a municipality in the Netherlands.

Subfields: Computer Networks and Communications, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/0ec00ee5e7e386e2ca0eeb53238eddd99b515933

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

In Management Information Systems

Citations in the corpus

Discovering simulation models (2009, neutral): “, the relationships between roles or functional units and activities) [22].”
Business process analysis in healthcare environments: A methodology based on process mining (2012, background): “The organizational perspective includes the Social Network Miner [27] and the Organizational Model Miner [28].”
Process Mining (2016, background): “Techniques for organizational process mining [130] will discover such organizational structures and relate activities to resources through roles.”
Process mining in healthcare: A literature review (2016, background): “Additional techniques used in these case studies include: different algorithms to discover process models (Alpha Miner [6], Genetic Miner [91] and Inductive Miner [92]), verify conformance (Conformance Checker [93]), execute performance analysis (Performance Sequence Analyzer [94]), include expert k”
The impact of business analytics on supply chain performance (2010, neutral): “However, the concerted effort of users and/or consultants can only bring a chain to a certain point since most process owners have limited information about what is actually happening [72] and analyses are usually separated in dispersed domains without an overview of their effectiveness [19].”