26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022)
Тезисы до: 31.10.2021
Даты: 16.05.22 — 19.05.22
Область наук: Технические;
Е-мейл Оргкомитета: firstname.lastname@example.org
Организаторы: PAKDD 2022
PAKDD2022 welcomes high-quality, original, and previously unpublished submissions in the theories, technologies and applications on all aspects of knowledge discovery and data mining.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:
* Data Science
--Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, IoT data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
* Big Data Technologies
--Large-scale systems for text and graph analysis, sampling, parallel and distributed data mining (cloud, map-reduce, federated learning), novel algorithmic, and statistical techniques for big data.
--Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning, meta-learning, reinforcement learning; classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization; fairness, interpretability, and robustness.
--Springer will publish the proceedings of the conference as a volume of the LNAI series.
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 should 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 are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their submissions. All papers must be submitted electronically through the paper submission system in PDF format only. If required 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.
★Formatting Template: http://www.springer.de/comp/lncs/authors....
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/PAKD...
★How to Submit: https://cmt3.research.microsoft.com/docs...
PAKDD 2022 Secretariat
Telephone: +86-87555888 / +86-13281280917
Веб-сайт конференции: http://www.pakdd.net/