Call for Papers – Survey Track
PAKDD 2025 will be held exclusively in person. All accepted presentations must be delivered on-site.
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) will take place in Sydney, Australia, on June 10-13, 2025. The PAKDD 2025 Survey Track solicits high-quality survey papers that present a structured synthesis of a particular topic in the area of knowledge discovery and data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity. Papers accepted to the Survey Track will be published in the PAKDD proceedings by Springer. At least one author of each accepted survey paper must register for the conference and present the work.
For up-to-date information on PAKDD 2025, please visit its homepage: https://pakdd2025.org.
Important Dates
- Paper Submission Deadline: November 30, 2024
- Paper Acceptance Notification: January 25, 2025
- Camera Ready Papers Due: February 15, 2025
*All deadlines are 23:59 Pacific Standard Time (PST)
Submission
Submitted papers should be anonymous and are not allowed to include the author names and affiliations. Submitted survey papers must be formatted according to PAKDD guidelines and submitted electronically through the PAKDD 2025 special track paper submission site. Submissions must be self-contained; the PAKDD survey track will not accept or review any supplementary material. Submitted survey papers must be no longer than 18 pages in total: 15 pages for the main text of the paper and up to 3 additional pages for references. Final camera-ready versions will be formatted according to the publisher's instructions. Submissions not in compliance with these length and formatting requirements will not be considered for review.
Submission Details: https://pakdd2025.org/authors-kit
If you have any questions, please feel free to contact us at pakdd2025.survey@gmail.com.
PAKDD 2025 Survey Track Chairs
- Jae-Gil Lee (KAIST, Korea)
- Leo Zhang (Griffith University, Australia)