===============================================================
[Call for Papers]
The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining
 (PAKDD 2023)

Conference date: May 25-28, 2023 - Osaka, Japan (Onsite/online hybrid)
Paper Submission Deadline: Nov. 24, 2022
===============================================================

The Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD) is one of the longest established and leading international
conferences in the areas of data mining and knowledge discovery. It
provides an international forum for researchers and industry
practitioners to share their new ideas, original research results, and
practical development experiences from all KDD related areas,
including data mining, data warehousing, machine learning, artificial
intelligence, databases, statistics, knowledge engineering,
visualization, decision-making systems, and the emerging applications.
The 26th edition of PAKDD will be held in Osaka, Japan, from May 25 to
May 28, 2023.
The venue will be a hybrid of onsite and online.

[Topics]
PAKDD2022 welcomes high-quality, original, and previously unpublished
submissions in the theories, technologies, and applications on all
aspects of knowledge discovery and data mining. Topics of relevance
for the conference include, but not limited to the following.

Methods and algorithms:
Anomaly and outlier detection, Association rule, Classification,
Clustering, Data mining pipelines, Deep learning, Dimensionality
detection and feature selection, Ethics and fairness, Graphs and
networks, Interpretability and explainability, Kernel methods,
Matrices and tensors, Online and streaming algorithms, Parallel and
distributed mining, Probabilistic models and statistical inference,
Regression, Reinforcement learning, Relational learning, Security and
privacy, Semi-supervised and unsupervised learning, Theoretical
foundations, Transfer learning and meta learning, and Visualization
and user interface.

Applications:
Big data, Computational Advertising, Financial data, Information
retrieval and search, Internet of Things, Intrusion and fraud
detection, Medical and biological data, Multimedia and multimodal
data, Recommender systems, Robotics, Scientific data, Social network
analysis, Spatio-temporal data, Texts, web, social media, and
Time-series and streaming data.

[Paper Submission]
Paper submission must be in English. All papers will be double-blind
reviewed by the Program Committee based on technical quality,
relevance to data mining, originality, significance, and clarity. All
paper submissions will be handled electronically. 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 and be
no longer than 12 single-spaced pages with 10pt font size (including
references, appendices, etc.). 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. Supplementary material may be submitted as
a separate PDF file, but reviewers are not obligated to consider this,
and your manuscript should, therefore, stand on its own merits without
any supplementary material. Supplementary material will not be
published in the proceedings.

We require that any submission to PAKDD must not be already published
or under review at another archival conference or journal. Papers on
arXiv do not violate this rule as long as the submitted paper does not
cite them. Submitting a paper to the conference means that if the
paper was 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.

The conference will confer several awards, including Best Paper Award,
Best Student Paper Award, and Best Application Paper Award from the
submissions.

Springer will publish the proceedings of the conference as a volume of
the LNAI series.

[Double-Blind Review]
Paper submission must adhere to the double-blind review policy.
Submissions must remove  all details identifying the author(s) from
the original manuscript (including the supplementary files, if any),
and the author(s) should refer to their prior work in the third person
and include all relevant citations.

Because of the double-blind review process, non-anonymous papers that
have been issued as technical reports or similar cannot be considered
for PAKDD2022. An exception to this rule applies to manuscripts that
were published in arXiv not later than October 24, 2022, i.e., at
least a month before PAKDD's submission deadline.

The author list and order cannot be changed after the paper is submitted.

[Formatting Template]
Formatting Template: http://www.springer.de/comp/lncs/authors.html.

All the Manuscripts must be prepared and submitted in accordance with
the above format. Usage of other formats may lead to disqualification
of paper for the conference.

[Submission Site]
https://cmt3.research.microsoft.com/PAKDD2023

[Important Dates]
Paper Submission Deadline: November 24, 2022
Paper Acceptance Notification: January 24, 2023
Camera Ready Papers Due: February 24, 2023
*All deadlines are 23:59 Pacific Standard Time (PST)

[Contact Information]
Program Co-Chairs of PAKDD2023
Hisashi Kashima, Wen-Chih Peng, Tsuyoshi Ide
[log in to unmask]

########################################################################

To unsubscribe from the cphc-conf list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=cphc-conf&A=1

This message was issued to members of www.jiscmail.ac.uk/cphc-conf, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/