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 present the paper.
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.