Abstract
Organizations are increasing day by day at a drastic pace which prefers the extraction of the workflow of processes to interpret the operational processes. For an adequately and sorted out approach to drive the advancement in the realm of digitization is utilized by the approach of work process extraction. The work process extraction/mining is otherwise called process mining. The target of workflow mining is to get the extraction of data of an association’s strategy of business by changing over the logs of occasion information recorded in association’s frameworks. This effect to the improve adaptation of procedures to association direction where work process digging approach for investigation is completed. Work process mining methods absolutely rely upon the nearness of framework occasion log information. We accept to involve setting various endeavors on building our techniques or frameworks to record the greater part of the ancient information. The desire to appreciate and extend the systems of organizations involves the procedure investigation rehearses. This paper shows a procedure how programming occasion log information is inspected to fathom and advance the product work process by utilizing the order which is best in class and utilized as a part of the product code clone streamlining for the medicinal services space application.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
van der Aalst WMP (2011) Process mining: discovery, conformance and enhancement of business processes. Springer, Berlin
Adriansyah A, van Dongen BF, van der Aalst WMP (2011) Towards robust conformance checking. In: Business process management workshops. Lecture notes in business information processing, vol. 66, pp. 122–133. Springer, Berlin, Heidelberg
Dehnert J, van der Aalst WMP (2004) Bridging the gap between business models and workflow specifications. Int J Coop Inf Syst 13(3):289–332
Schimm G (2004) Mining exact models of concurrent workflows. Comput Ind 53(3):265–281
Goedertier S (2008) Declarative techniques for modeling and mining business processes. Phd thesis. Katholieke Universiteit Leuven, Faculty of Business and Economics, Leuven, Sept
Pesic M, van der Aalst WMP (2006) A declarative approach for flexible business processes management. In: Eder J, Dustdar S (eds), Business process management workshops. Lecture notes in computer science, vol 4103, pp 169–180. Springer
GĂĽnther CW XES standard definition. http://www.xes-standard.org
Agrawal R, Gunopulos D, Leymann F (1998) Mining process models from work logs. In: Ramos I, Alonso G, Schek H-J, Saltor F (eds), Advances in database technology—EDBT’98: sixth international conference on extending database technology. Lecture notes in computer science, vol 1377, pp 469–483
Pinter SS, Golani M (2004) Discovering workflow models from activities lifespans. Comput Ind 53(3):283–296
IBM (1999) IBM MQSeries workow—getting started with buildtime. IBM Deutschland Entwicklung GmbH, Boeblingen, Germany
Cook JE, Du Z, Liu C, Wolf AL (2004) Discovering models of behavior for concurrent workflows. Comput Ind 53(3):297–319
Greco G, Guzzo A, Pontieri L, Sacca D (2004) Mining expressive process models by clustering workflow traces. In: Dai H, Srikant R, Zhang C (eds), BIBLIOGRAPHY 365 PAKDD. Lecture notes in computer science, vol. 3056, pp 52–62. Springer
Herbst J, Karagiannis D (2004) Workow mining with InWoLvE. Comput Ind 53(3):245–264
Regev G, Soffer P, Schmidt R (2006) Taxonomy of flexibility in business processes, Input BPMDS’06 workshop
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sharma, S., Srivastava, S. (2018). GAE: A Novel Approach for Software Workflow Improvement by Unhidding Hidden Transactions. In: Bhattacharyya, S., Gandhi, T., Sharma, K., Dutta, P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore. https://doi.org/10.1007/978-981-10-8240-5_36
Download citation
DOI: https://doi.org/10.1007/978-981-10-8240-5_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8239-9
Online ISBN: 978-981-10-8240-5
eBook Packages: EngineeringEngineering (R0)