Investigation of Graph Mining for Business Processes

نویسندگان

  • Azeem Lodhi
  • Gamal Kassem
  • Veit Koeppen
  • Gunter Saake
چکیده

Business process management and business intelligence are fields which gain a lot of attention in recent years. These techniques try to improve not only efficiency of processes but also save considerable cost. Graph based representation of concepts (objects, data) are also used in business domain to support aforementioned techniques. Graph mining methods are successful in many fields for discovery of new relations, knowledge, and visualization. In this paper, we briefly discuss the fields in which graph mining is successfully applied. We also discuss challenges of applying graph mining in business processes and what are the benefits. Keywords-Graph mining, business processes, graph mining applications, business intelligence, business process analysis

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تاریخ انتشار 2010