Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to PAKDD, originality, significance, and presentation quality. All paper submissions will be handled electronically. The author list and order cannot be changed after the paper is submitted. Papers that do not comply with the Submission Policy will be rejected without review.

Each submitted paper must include an abstract up to 200 words. Each submitted paper to the main track or the special track on large language models in data science must be no longer than 12 pages (including references, appendices, etc.). The survey track submission can have up to 18 pages in total: 15 pages for the main text of the paper and up to 3 additional pages for references. Authors must use Springer LNCS/LNAI manuscript submission guidelines and formatting template (see below) for their submissions. All papers must be submitted electronically through the PAKDD’s CMT paper submission system in PDF format only.

Authors must use Springer LNCS/LNAI manuscript submission guidelines for their submissions. All papers must be submitted electronically through the CMT paper submission system in PDF format only.

PAKDD 2025 will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in a journal or another venue with formally published proceedings. Authors are also required not to submit their papers to other venues with formal publication during the PAKDD 2025 review period. Papers on arXiv do not violate this rule as long as the submitted paper does not cite them.

Springer will publish the proceedings of the conference as a volume of the LNAI series. Submitting a paper to the conference means that if the paper is accepted, at least one author will complete the regular registration and attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings.

Generative AI models such as Chat-GPT do not satisfy the criteria for authorship of papers published in PAKDD 2025. LLMs may be used for grammatical error correction. If authors use an LLM in other parts of the paper-writing process, they assume full responsibility for all content, including checking for plagiarism and correctness of all text.