Using Mapreduce to scale events correlation discovery for business processes mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7481 LNCS, Issue , 2012, Pages 279-284

  Reguieg, Hicham ^a   Toumani, Farouk ^a   Motahari Nezhad, Hamid Reza ^b   Benatallah, Boualem ^c  

^a CNRS   (France)

^b HEWLETT PACKARD LABORATORIES   (United States)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BUSINESS PROCESS; DATA ANALYSIS TECHNIQUES; EVENT CORRELATION; LARGE DATASETS; MAP-REDUCE; PROCESS INSTANCES;

ARTIFICIAL INTELLIGENCE;

ENTERPRISE RESOURCE MANAGEMENT;

EID: 84866366083     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32885-5_22     Document Type: Conference Paper

References (8)

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7. Reguieg, H., Toumani, F., Motahari-Nezhad, H.R., Benatallah, B.: Using mapreduce to scale events correlation discovery for business processes mining. Hewlett Packard Laboratories Technical Report (2012)
8. van der Aalst, W.M.P.: Configurable Services in the Cloud: Supporting Variability While Enabling Cross-Organizational Process Mining. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010, Part I. LNCS, vol. 6426, pp. 8-25. Springer, Heidelberg (2010)