Mining business process deviance: A quest for accuracy

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

Volumn 8841, Issue , 2014, Pages 436-445

  Nguyen, Hoang ^a   Dumas, Marlon ^b   La Rosa, Marcello ^a,c   Maggi, Fabrizio Maria ^b   Suriadi, Suriadi ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF TARTU   (Estonia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

BUSINESS PROCESS; BUSINESS PROCESS EXECUTION; CLASSIFICATION METHODS; FEATURE TYPES; PATTERN MINING; PERFORMANCE TARGETS; PROCESS EXECUTION; SEQUENCE CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 84910009076     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-662-45563-0_25     Document Type: Conference Paper

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