{"id":129,"date":"2022-10-28T12:32:05","date_gmt":"2022-10-28T03:32:05","guid":{"rendered":"http:\/\/polygraphic.jpn.com\/?p=129"},"modified":"2023-03-08T12:44:24","modified_gmt":"2023-03-08T03:44:24","slug":"cfp","status":"publish","type":"post","link":"https:\/\/pakdd2023.org\/cfp\/","title":{"rendered":"Call for Papers"},"content":{"rendered":"\n<section class=\"w-main mb60-sp30\">\n<div>\n<p>\nPAKDD2023 welcomes high-quality, original, and previously unpublished submissions in the theories, technologies, and applications on all aspects of knowledge discovery and data mining. \n<\/p>\n<\/div>\n<\/div><\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div class=\"\">\n<h1>Important Dates<\/h1>\n<ul class=\"my_ul\">\n<li>Paper Submission Deadline: <font color=\"red\"><del>November 24, 2022<\/del><\/font> <b>December 7, 2022<\/b><\/li>\n<li>Paper Acceptance Notification: <font color=\"red\"><del>January 24, 2023<\/del><\/font> <b>February 21, 2023<\/b><\/li>\n<li>Camera Ready Papers Due: <font color=\"red\"><del>February 24, 2023<\/del><\/font> <b>March 20, 2023<\/b><\/li>\n<\/ul>\n<p>\n*All deadlines are 23:59 Pacific Standard Time (PST)\n<\/p>\n<\/div>\n<\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div>\n<h1>Topics<\/h1>\n<p>\nTopics of relevance for the conference include, but not limited to the following.\n<\/p>\n<br>\n<div>\n<h3>Methods and algorithms:<\/h3>\n<p>\nAnomaly 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.\n<\/p>\n<\/div>\n<br>\n<div>\n<h3>Applications:<\/h3>\n<p>\nBig 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.\n<\/p>\n<\/div>\n<\/div><\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div>\n<h1>Paper Submission<\/h1>\n<p>\nPaper 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.\n<br><br>\nEach 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.\n<br><br>\nWe 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.\n<br><br>\nThe conference will confer several awards, including Best Paper Award, Best Student Paper Award, and Best Application Paper Award from the submissions.\n<br><br>\nSpringer will publish the proceedings of the conference as a volume of the LNAI series.\n<\/p>\n<\/div>\n<\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div>\n<h1>Double-Blind Review<\/h1>\n<p>\nPaper 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.\n<br><br>\nBecause of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for PAKDD2023. 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\u2019s submission deadline.\n<br><br>\nThe author list and order cannot be changed after the paper is submitted.\n<\/p>\n<\/div>\n<\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div class=\"\">\n<h1>Formatting Template<\/h1>\n<p>\nFormatting Template: <a href=\"https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines\" target=\"_blank\" class=\"blank\" rel=\"noopener\">https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines<\/a>.\n<\/p>\n<p>\nAll 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.\n<\/p>\n<\/div>\n<\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div class=\"\">\n<h1>Submission site<\/h1>\n<p>\n<a href=\"https:\/\/cmt3.research.microsoft.com\/PAKDD2023\" target=\"_blank\" class=\"blank\" rel=\"noopener\">https:\/\/cmt3.research.microsoft.com\/PAKDD2023<\/a>\n<\/p>\n<\/div>\n<\/section>\n\n\n\n<section class=\"w-main mb60-sp30\">\n<div>\n<h1>Contact Information<\/h1>\n<p>\nProgram Co-Chairs of PAKDD2023<br>\nHisashi Kashima, Wen-Chih Peng, Tsuyoshi Ide<br>\npakdd2023@gmail.com\n<\/p>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>PAKDD2023 welcomes high-quality, original, and previously unpublished submissions in the theories, technologie [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/129"}],"collection":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/comments?post=129"}],"version-history":[{"count":21,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/129\/revisions"}],"predecessor-version":[{"id":461,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/129\/revisions\/461"}],"wp:attachment":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/media?parent=129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/categories?post=129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/tags?post=129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}