Simplified Business Process Model Mining Based on Structuredness Metric

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "WeiDong Zhao and Xi Liu and Anhua Wang",
  title =        "Simplified Business Process Model Mining Based on
                 Structuredness Metric",
  booktitle =    "Computational Intelligence and Security (CIS), 2011
                 Seventh International Conference on",
  year =         "2011",
  month =        "3-4 " # dec,
  pages =        "1362--1366",
  address =      "Hainan",
  size =         "5 pages",
  abstract =     "Process mining is the automated acquisition of process
                 models from event logs. Although many process mining
                 techniques have been developed, most of them focus on
                 mining models from the prospective of control flow
                 while ignoring the structure of mined models. This
                 directly impacts the understandability and quality of
                 mined models. To address the problem, we have proposed
                 a genetic programming (GP) approach to mining
                 simplified process models. Herein, genetic programming
                 is applied to simplify the complex structure of process
                 models using a tree-based individual representation. In
                 addition, the fitness function derived from process
                 complexity metric provides a guideline for discovering
                 low complexity process models. Finally, initial
                 experiments are performed to evaluate the effectiveness
                 of the method.",
  keywords =     "genetic algorithms, genetic programming, control flow,
                 event logs, fitness function, process complexity
                 metric, process model acquisition, simplified business
                 process model mining, structuredness metric, tree-based
                 individual representation, business data processing,
                 data mining, trees (mathematics)",
  DOI =          "doi:10.1109/CIS.2011.303",
  notes =        "Also known as \cite{6128344}",

Genetic Programming entries for WeiDong Zhao Xi Liu Anhua Wang