31st Pacific-Asia Conference on Knowledge Discovery and Data Mining
About This Conference
The 31st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a premier international forum for researchers and industry practitioners to share advancements in data science, machine learning, and knowledge discovery. The conference explores the latest theoretical developments and practical applications of mining complex data structures, fostering collaboration across the Pacific-Asia region and beyond. As a flagship event in the field, it serves as a critical venue for disseminating innovative research that addresses the evolving challenges of the big data era.
Call for Papers
We invite high-quality, original research submissions covering all aspects of data mining, including foundational algorithms, scalable systems, and interdisciplinary applications. Authors are encouraged to submit papers that present novel methodologies, experimental insights, or significant theoretical contributions to the field of data analytics.
Details
Start Date
Jun 29, 2027
End Date
Jul 02, 2027
Deadline
Nov 20, 2026
Format
In-Person
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