PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining
- Call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details
This article provides the call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details of PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining all at one place.
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Conference Location
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Macau, China
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Conference Date
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2019-04-14
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Notification Date
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2018-12-14
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Submission Deadline
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2018-10-10
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Conference Website and Submission Link
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http://pakdd2019.medmeeting.org/en
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Conference Ranking
Pacific-Asia Conference on Knowledge Discovery and Data Mining ranking based on CCF, Core, and Qualis is shown below:
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CCF Ranking
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C
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Core Ranking
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A
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Qualis Ranking
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Click here to check the ranking of any conference.
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About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
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About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.
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About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here
Conference Acceptance Rate
Below is the acceptance rate of Pacific-Asia Conference on Knowledge Discovery and Data Mining conference for the last few years:
| Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.
Conference Call for paper
Conference Scope 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. Topics PAKDD 2019 welcomes high-quality, original and previously unpublished submissions in the theory, practice, and applications on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to, the following: ● Theoretic foundations of KDD ● Deep learning theory and applications in KDD ● Novel models and algorithms ● Statistical methods and graphical models for data mining ● Anomaly detection and analytics ● Association analysis ● Clustering ● Classification ● Data pre-processing ● Feature extraction and selection ● Post-processing including quality assessment and validation ● Mining heterogeneous/multi-source data ● Mining sequential data ● Mining spatial and temporal data ● Mining unstructured and semi-structured data ● Mining graph and network data ● Mining social networks ● Mining high dimensional data ● Mining uncertain data ● Mining imbalanced data ● Mining dynamic/streaming data ● Mining behavioral data ● Mining multi-media data ● Mining scientific data ● Privacy preserving data mining ● Fraud and risk analysis ● Security and intrusion detection ● Visual data mining ● Interactive and online mining ● Ubiquitous knowledge discovery and agent-based data mining ● Integration of data warehousing, OLAP, and data mining ● Parallel, distributed, and cloud-based high-performance data mining ● Opinion mining and sentiment analysis ● Human, domain, organizational, and social factors in data mining ● Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems Paper Submission Paper submission must be in English and adhere to the double-blind review policy. Submissions must have all details identifying the author(s) removed from the original manuscript, and the author(s) should refer to their own prior work in the third person and include all relevant citations. 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. 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. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their initial 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.The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the PAKDD review process. 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. Before submitting your paper, please carefully read and agree with the PAKDD Paper Submission Policy and No-Show Policy: https://pakddsc.webfactional.com/policies/ The conference will confer several awards including Best Paper Award, Best Student Paper Award, and Best Application Paper Award from the submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series, and selected excellent papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and International Journal of Data Science and Analytics.
Submission Deadline
PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining submission deadline is 2018-10-10.
Note: It is generally recommended to submit your conference paper
on or before the submission deadline. Generally, conferences do not
encourage to submit the research paper after the deadline is over.
In rare scenarios, conferences extend their deadline. Decision about the
extension of the deadline is generally updated on the official conference webpage.
Notification date
Notification date of PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining is 2018-12-14.
Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.
Conference Date
PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining will start on 2019-04-14.
Note: This is the date on which the conference starts.
Conference Location
PAKDD 2019: Pacific-Asia Conference on Knowledge Discovery and Data Mining will be organized at Macau, China. This is the place where the conference is organized and the research paper is to be presented.
