A principled approach to mining from noisy logs using Heuristics Miner

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 119-126

  Weber, Philip ^a   Bordbar, Behzad ^a   Tino, Peter ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EVENT LOGS; IN-PROCESS; MULTIPLE DISTRIBUTION; PROBABILISTIC ANALYSIS; PROCESS MINING; PROCESS MODELING; STANDARD DEFINITIONS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MINERS; PROBABILITY DISTRIBUTIONS;

DATA MINING;

EID: 84885643503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2013.6597226     Document Type: Conference Paper

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