The submitted paper should adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page. Papers that do not comply with the Submission Guidelines will be rejected without review.


Each submitted paper should include an abstract up to 200 words and be not longer than 12 single-spaced pages with 10pt font size. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines (available at http://www.springer.de/comp/lncs/authors.html) for their initial submissions. All papers must be submitted electronically through the paper submission system in PDF format only.


The submitted papers must not be previously published anywhere, and must not be under consideration by any other conferences or journal during the PAKDD review process. Submitting a paper to the conference means that if the paper were accepted, at least one author will attend the conference to present the paper. For no-show authors, their affiliations will receive a notification. The program committee chairs are not allowed to submit papers to the conference for a fair review process.


The conference will confer several awards including Best Paper Awards, Best student Paper Awards and Best Application Paper Awards from the submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series and selected best papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and ACM Transactions on Intelligent Systems and Technologies (TIST).


Before submitting your paper, please carefully read and agree with the PAKDD submission policy and no-show policy: http://pakdd.togaware.com/policy.html