PAKDD 2024 : The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining

[Call for Research Papers]
PAKDD 2024 solicits novel, high-quality, and original research papers that provide innovative insights into all facets of knowledge discovery and data science, including but not limited to theoretical foundations of mining, inference, and learning, Big Data technologies, as well as security, privacy, and integrity. We also encourage visionary papers on emerging topics and application-based papers offering innovative technical advancements to interdisciplinary research and applications of data science.

[Important Dates]
Paper Submission Deadline: November 29, 2023 (extended)
Paper Acceptance Notification: February 1, 2024 (extended)
Camera Ready Papers Due: February 15, 2024 (extended)
*All deadlines are 23:59 Pacific Standard Time (PST)

[Paper Submission]
Submissions of papers must be conducted in English. The Program Committee will undertake a double-blind review of all papers based on their technical merit, relevance to the field of data mining, originality, significance, and clarity. Every submitted paper should include an abstract of no more than 200 words and should not exceed 12 single-spaced pages using a 10pt font size, including references, appendices, etc. Authors are instructed to follow the Springer LNCS/LNAI manuscript submission guidelines for their submissions.

All papers must be electronically submitted via the CMT paper submission system and only in PDF format. Although authors can submit supplementary material in a separate PDF file, the reviewers are not obliged to consider it. Any papers failing to adhere to the Submission Policy will be rejected without review. Submitting a paper signifies that if the paper is accepted, at least one author will undertake regular registration and attend the conference to present the paper. Failure to show up for the presentation will result in excluding the paper from the proceedings. Once a paper is submitted, there can be no change to the author list or the order of authors.

All submissions to PAKDD must be original work and not be under review or published in any other conference or journal. Submissions of papers must conform to the double-blind review policy, requiring the removal of any information identifying the author(s) from the main manuscript and any supplementary files. In discussing previous work, authors should reference their own studies in the third person and include all appropriate citations.

https://pakdd2024.org/call-for-research-papers/