Process Mining Based Software for Automated Business Process Discovery
Dharmendra Patel1, Pranav Vyas2

1Dr.Dharmendra Patel*, Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Sciecne and Technology, Changa, Ta  Petlad, Dist Anand, Gujarat, India.
2Dr.Pranav Vyas, Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Sciecne and Technology, Changa, Ta Petlad, Dist Anand, Gujarat, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 22, 2020. | Manuscript published on March 10, 2020. | PP: 2413-2416 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2697039520/2020©BEIESP | DOI: 10.35940/ijitee.E2697.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Automated Business Process Discovery is a rising field that depends vigorously on computer software. Software do the automatic analysis of the several documents such as audits and event logs and generate useful, novel, hidden and fascinating information from that. The information produce from the software recognize the process model as well as investigates varieties and gives clients a vastly improved picture of what a particular business process resembles, and how changes would influence the business in general. This paper presents the common framework activities of process mining in the context to all well known software. The paper also describes the open source process mining software with their operational characteristics. Finally, paper represents the role of process mining software for various famous industries. 
Keywords: Process Mining, Event Log, Process Discovery, Framework Activities
Scope of the Article: Quality assurance process, standards, and systems