An extensible framework for analysing resource behaviour using event logs

A. Pika; M.T. Wynn; C.J. Fidge; A.H.M. Hofstede, ter; M. Leyer; W.M.P. Aalst, van der

doi:10.1007/978-3-319-07881-6_38

An extensible framework for analysing resource behaviour using event logs

A. Pika, M.T. Wynn, C.J. Fidge, A.H.M. Hofstede, ter, M. Leyer, W.M.P. Aalst, van der

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic

32 Citaten (Scopus)

Samenvatting

Business processes depend on human resources and managers must regularly evaluate the performance of their employees based on a number of measures, some of which are subjective in nature. As modern organisations use information systems to automate their business processes and record information about processes’ executions in event logs, it now becomes possible to get objective information about resource behaviours by analysing data recorded in event logs. We present an extensible framework for extracting knowledge from event logs about the behaviour of a human resource and for analysing the dynamics of this behaviour over time. The framework is fully automated and implements a predefined set of behavioural indicators for human resources. It also provides a means for organisations to define their own behavioural indicators, using the conventional Structured Query Language, and a means to analyse the dynamics of these indicators. The framework’s applicability is demonstrated using an event log from a German bank.

Originele taal-2	Engels
Titel	Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014)
Redacteuren	M. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, J. Horkoff
Plaats van productie	Berlin
Uitgeverij	Springer
Pagina's	564-579
ISBN van geprinte versie	978-3-319-07880-9
DOI's	https://doi.org/10.1007/978-3-319-07881-6_38
Status	Gepubliceerd - 2014
Evenement	26th International Conference on Advanced Information Systems Engineering, CAiSE 2014 - MET Hotel, Thessaloniki, Griekenland Duur: 16 jun. 2014 → 20 jun. 2014 Congresnummer: 26 http://delab.csd.auth.gr/caise2014/

Publicatie series

Naam	Lecture Notes in Computer Science
Volume	8484

Congres

Congres	26th International Conference on Advanced Information Systems Engineering, CAiSE 2014
Verkorte titel	CAiSE 2014
Land/Regio	Griekenland
Stad	Thessaloniki
Periode	16/06/14 → 20/06/14
Ander	International Conference on Advanced Systems Engineering (CAISE)
Internet adres	http://delab.csd.auth.gr/caise2014/

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10.1007/978-3-319-07881-6_38

Citeer dit

Pika, A., Wynn, M. T., Fidge, C. J., Hofstede, ter, A. H. M., Leyer, M., & Aalst, van der, W. M. P. (2014). An extensible framework for analysing resource behaviour using event logs. In M. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, & J. Horkoff (editors), Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014) (blz. 564-579). (Lecture Notes in Computer Science; Vol. 8484). Springer. https://doi.org/10.1007/978-3-319-07881-6_38

Pika, A. ; Wynn, M.T. ; Fidge, C.J. et al. / An extensible framework for analysing resource behaviour using event logs. Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). redacteur / M. Jarke ; J. Mylopoulos ; C. Quix ; C. Rolland ; Y. Manolopoulos ; H. Mouratidis ; J. Horkoff. Berlin : Springer, 2014. blz. 564-579 (Lecture Notes in Computer Science).

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abstract = "Business processes depend on human resources and managers must regularly evaluate the performance of their employees based on a number of measures, some of which are subjective in nature. As modern organisations use information systems to automate their business processes and record information about processes{\textquoteright} executions in event logs, it now becomes possible to get objective information about resource behaviours by analysing data recorded in event logs. We present an extensible framework for extracting knowledge from event logs about the behaviour of a human resource and for analysing the dynamics of this behaviour over time. The framework is fully automated and implements a predefined set of behavioural indicators for human resources. It also provides a means for organisations to define their own behavioural indicators, using the conventional Structured Query Language, and a means to analyse the dynamics of these indicators. The framework{\textquoteright}s applicability is demonstrated using an event log from a German bank.",

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Pika, A, Wynn, MT, Fidge, CJ, Hofstede, ter, AHM, Leyer, M & Aalst, van der, WMP 2014, An extensible framework for analysing resource behaviour using event logs. in M Jarke, J Mylopoulos, C Quix, C Rolland, Y Manolopoulos, H Mouratidis & J Horkoff (uitgave), Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). Lecture Notes in Computer Science, vol. 8484, Springer, Berlin, blz. 564-579, 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014, Thessaloniki, Griekenland, 16/06/14. https://doi.org/10.1007/978-3-319-07881-6_38

An extensible framework for analysing resource behaviour using event logs. / Pika, A.; Wynn, M.T.; Fidge, C.J. et al.
Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). uitgave / M. Jarke; J. Mylopoulos; C. Quix; C. Rolland; Y. Manolopoulos; H. Mouratidis; J. Horkoff. Berlin: Springer, 2014. blz. 564-579 (Lecture Notes in Computer Science; Vol. 8484).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic

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Pika A, Wynn MT, Fidge CJ, Hofstede, ter AHM, Leyer M, Aalst, van der WMP. An extensible framework for analysing resource behaviour using event logs. In Jarke M, Mylopoulos J, Quix C, Rolland C, Manolopoulos Y, Mouratidis H, Horkoff J, redacteurs, Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). Berlin: Springer. 2014. blz. 564-579. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-07881-6_38

An extensible framework for analysing resource behaviour using event logs

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