PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
PAKDD 2023 The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 25, 2023 - May 28, 2023 Osaka, Japan Dec 7, 2022
PAKDD 2021 Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 11, 2021 - May 14, 2021 Delhi, India Nov 30, 2020 (Nov 23, 2020)
PAKDD 2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining
Apr 14, 2019 - Apr 17, 2019 Macau, China Oct 10, 2018
PAKDD 2018 The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 15, 2018 - May 18, 2018 Melbourne, Australia Oct 31, 2017
PAKDD 2017 The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 23, 2017 - May 26, 2017 Jeju Island, Korea Oct 30, 2016
PAKDD 2016 The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Apr 19, 2016 - Apr 22, 2016 Auckland, New Zealand Oct 4, 2015
PAKDD 2015 Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 19, 2015 - May 22, 2015 Ho Chi Minh, Vietnam Nov 28, 2014
PAKDD 2014 The Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 13, 2014 - May 16, 2014 Tainan, Taiwan Oct 8, 2013
PAKDD 2013 The Pacific-Asia Conference on Knowledge Discovery and Data Mining
Apr 14, 2013 - Apr 17, 2013 Gold Coast, Australia Oct 15, 2012
PAKDD 2012 The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
May 29, 2012 - Jun 1, 2012 Malaysia Oct 2, 2011 (Sep 25, 2011)
PAKDD 2011 The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 24, 2011 - May 27, 2011 Shenzhen,China Oct 10, 2010 (Oct 3, 2010)
PAKDD 2010 The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Jun 21, 2010 - Jun 24, 2010 Hyderabad, India Nov 30, 2009
PAKDD 2008 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 20, 2008 - May 23, 2008 Osaka, Japan Sep 23, 2007
 
 

Present CFP : 2023

===============================================================
[Call for Papers]
The 27th 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: Dec. 7, 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 27th 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]
PAKDD2023 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: December 7, 2022
Paper Acceptance Notification: February 7, 2023
Camera Ready Papers Due: March 10, 2023
*All deadlines are 23:59 Pacific Standard Time (PST)

[Contact Information]
Program Co-Chairs of PAKDD2023
Hisashi Kashima, Wen-Chih Peng, Tsuyoshi Ide
pakdd2023@gmail.com

 

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