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Passage challenges from data-intensive system to knowledge-intensive system related to process mining field

Published: 07 March 2019 Publication History

Abstract

Process mining has emerged as a research field that focuses on the analysis of processes using event data. Process mining is a current topic that reveals several challenges, the most important of which have defined in the Process Mining Manifesto [1]. However, none of the published works have mentioned the progress of process challenges from data-intensive system to knowledge-intensive system related to process mining field. Therefore, the objective of this paper is to provide researchers with the recent challenges emerged during the passage from data-intensive system to knowledge-intensive system.

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Cited By

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  • (2021)Leveraging Dynamicity and Process Mining in Ad-Hoc Business ProcessInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_56(741-757)Online publication date: 13-Feb-2021

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  1. Passage challenges from data-intensive system to knowledge-intensive system related to process mining field

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    cover image ACM Other conferences
    ArabWIC 2019: Proceedings of the ArabWIC 6th Annual International Conference Research Track
    March 2019
    136 pages
    ISBN:9781450360890
    DOI:10.1145/3333165
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    Published: 07 March 2019

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    Author Tags

    1. Adaptive Case Management
    2. Business Process Management
    3. Data-intensive
    4. Knowledge-intensive
    5. Process Mining
    6. Process mining challenges

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    • (2021)Leveraging Dynamicity and Process Mining in Ad-Hoc Business ProcessInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_56(741-757)Online publication date: 13-Feb-2021

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