Intelligent Cross-Organizational Process Mining: Transforming Data-Driven Collaboration

As a 24-year-old master’s student specializing in data science, diving into the realms of process mining has been both fascinating and enlightening. One of the recent papers that caught my attention is "Intelligent Cross-Organizational Process Mining". It’s a study that doesn’t just expand the boundaries of what process mining can achieve but redefines its scope with a forward-thinking research direction. Here’s my take on the paper and its key contributions.
As a data scientist exploring the vast world of data science, this paper resonates with me on multiple levels. Intelligent cross-organizational process mining feels like a glimpse into the future of collaboration - where businesses can thrive not in isolation, but through shared insights and mutual growth. The fusion of cutting-edge technologies like AI, federated learning, and AutoML with real-world applications shows how innovation can solve challenges that seemed insurmountable just a few years ago.
Note: This presentation is inspired by the survey paper “Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives” by Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, and Qingsong Wen.
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