Process mining is an emerging research field of computer science, which utilizes automatically generated event logs in information system. An event log contains time stamped record for events which refer to activities under taken for specific cases. Event log also store additional information regarding event such as resources linked to the activity, or data elements recorded with the event. To allow these events to happen in parallel to the current state of a process may be represented by multiple nodes. Those process model can follow the notation of petri nets and Business process Modelling Notation (BPMN), widely used for their improvement. Process model guidance is an important model feature by which the software process is orchestrated. Process mining techniques have been used in business process domain with no focus on the software engineering processes. These techniques have produced faster results and the ability to check conformance and compliance. This paper discussed the basic concepts, applications, frameworks, types, algorithms and research issues of process mining.

Process Mining(PM), Educaional Process Mining(EPM), Process Mining techniques, Business Process Modelling(BPM), Event Logs.

[1]. AALST, W. VAN DER, “Process Mining: Discovery”, Conformance and Enhancement of Business Processes.Springer-Verlag, Berlin, 2011.
[2]. AALST, W. VAN DER, SCHONENBERG, M and SONG, “Time Prediction Based on Process Mining.Information Systems”2011.
[3]. AALST, W. VAN DER and STAHL, “Modeling Business Processes: A Petri Net Oriented Approach”, Business Process Management: Concepts, Languages, Architectures. Springer-Verlag,Berlin, 2011.
[4]. Wil van der Aalst chistian jan recker and Manfred Reichert, Eindhoven university of technology.
[5]. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Dis-covering Process Models from Event Logs. IEEE Transactions on Knowledge andData Engineering 16 (2004) 11281142.
[6]. van der Aalst, W.M.P., van Hee, K.M.: “Workflow Management: Models, Methods,and Systems”, MIT Press, Cambridge, Massachusets (2002)
[7]. Khodabandelou G, Hug C, Deneckere R, Salinesi C, “Processmining versus intention mining” Enterprise,Business-Process and Information Systems Modeling.Springer Berlin Heidelberg,Valencia, Spain; 2013,466–480.
[8]. Agrawal R, Srikant R. “Mining sequential patterns”,Data Engineering Proceedings of the Eleventh International Conference. IEEE, Taipei, Taiwan; 1995, 3–14.
[9]. Nesbit JC, Zhou M, Xu Y, Winne P. “Advancing loganalysis of student interactions with cognitive tools”,12th Biennial Conference of the European Associationfor Research on Learning and Insruction (EARLI). Budapest, Hungary; 2007, 2–20.
[10]. Reimann P, Frerejean J, Thompson K,“Using processmining to identify models of group decision making in chat data”,9th international conference on Computer supported collaborative learning,Vol. 1. Rhodes, Greece; 2009, 98–107.
[11]. Washio T, Motoda H. State of the art of graph-baseddata mining. Acm Sigkdd Explor Newslett 2003,5:59–68.
[12]. Günther CW, Van Der Aalst WM, “Fuzzy mining–adaptive process simplification based on multiperspectivemetrics”, International Conference onBusiness Process Management. Springer Berlin Heidelberg;Brisbane, Australia; 2007, 328–343.
[13]. Van der Aalst, W., Weijters, A. AndMaruster, L, “Workflow mining:discovering process models from eventlogs”, IEEE Transactions on Knowledgeand Data Engineering, 16(9),1128–1142, 2004.
[14]. Rozinat, A. and van der Aalst, W. (2006a),“Conformance testing: measuring the fit andappropriateness of event logs and processmodels”, Workshops (Workshopon Business Process Intelligence), 3812,163–176, 2005
[15]. Rozinat, A. and van der Aalst, W. (2006b)“Decision mining in ProM”, InternationalConference on Business ProcessManagement (BPM 2006), 4102, 420–425.
[16]. Mekhala, “A review paper on process mining”, International journal of engineering and techniques- volume 1 issue 4, july-aug 2015.
[17]. W.M.P.van der aalst and a.j.m.m.weijters, “Process Mining:A research Agenda”, Eindhoven university of technology.
[18]. Van der aalst, W.M.P. 2011, “Process mining:Overview and oppurtunities”, ACM trans. Management information system 99, article 99.
[19]. Gabriel M. Veiga and Diogo R. Ferreira, “Understanding Spaghetti Models with Sequence Clustering for ProM”