Process Mining in Supply the Need for Rule-Based Knowledge Abstraction
P.Shirisha
P. Shirisha, Malla Reddy Engineering College For Women UGC Autonomous, Hyderabad (Telangana), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 1899-1906 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13650986S319/19©BEIESP | DOI: 10.35940/ijeat.F1365.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Organizations struggle to achieve insight in however their business processes square measure conducted actually. Method mining allows organizations to extract this data} by analyzing business events recorded in their information systems. However, the business events recorded in these systems don’t forever mirror constant level of abstraction because the desired method model that’s employed by the business. Current method mining approaches offer light attention to the current gap. This paper proposes many information preparation strategies that apply provision domain information for method mining the fabric movements among a corporation additionally, associate degree custom-made method mining project methodology is bestowed that expressly includes these preparation strategies.
Keywords: Method Mining, Event Mapping, Abstraction Levels, Logistics, Business Rules.
Scope of the Article: Signal and Speech Processing