KDD 2019: ACM SIGKDD 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 KDD 2019: ACM SIGKDD Conference on Knowledge Discovery and Data Mining all at one place.
|
Conference Location
|
Anchorage, Alaska, USA
|
|
Conference Date
|
2019-08-03
|
|
Notification Date
|
2019-04-28
|
|
Submission Deadline
|
2019-02-03
|
|
Conference Website and Submission Link
|
http://www.kdd.org/kdd2019/
|
Conference Ranking
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ranking based on CCF, Core, and Qualis is shown below:
|
CCF Ranking
|
A
|
|
Core Ranking
|
A*
|
|
Qualis Ranking
|
A1
|
Click here to check the ranking of any conference.
-
About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
-
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.
-
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 ACM SIGKDD Conference on Knowledge Discovery and Data Mining conference for the last few years:
| Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
| 2018 | 983 | 107 | 10.9% |
| 2017 | 748 | 64 | 8.6% |
| 2016 | 1115 | 66 | 5.9% |
| 2015 | 819 | 160 | 19.5% |
| 2014 | 1036 | 151 | 14.6% |
| 2013 | 726 | 125 | 17.2% |
| 2012 | 755 | 133 | 17.6% |
| 2011 | 714 | 126 | 17.6% |
| 2010 | 578 | 101 | 17.5% |
| 2009 | 537 | 105 | 19.6% |
| 2008 | 593 | 118 | 19.9% |
| 2007 | 573 | 111 | 19.4% |
| 2006 | 457 | 50 | 10.9% |
| 2005 | 358 | 76 | 21.2% |
| 2004 | 337 | 40 | 11.9% |
| 2003 | 258 | 34 | 13.2% |
| 2001 | 203 | 52 | 25.6% |
| 2000 | 246 | 50 | 20.3% |
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
We invite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Visionary papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. Authors are explicitly discouraged from submitting incremental results that do not provide major advances over existing approaches.Topics of interest include, but are not limited to:
Big Data: Large-scale systems for text and graph analysis, machine learning, optimization, parallel and distributed data mining (cloud, map-reduce), novel algorithmic and statistical techniques for big data.
Data Science: Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning; manifold learning, classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization.KDD is a dual track conference hosting both a Research track and an Applied Data Science track. Due to the large number of submissions, papers submitted to the Research track will not be considered for publication in the Applied Data Science track and vice versa. Authors are encouraged to read the track descriptions carefully and to choose an appropriate track for their submissions. Following KDD conference tradition, reviews are not double-blind, and author names and affiliations should be listed. Submissions are limited to a total of 9 (nine) pages, including all content and references, and must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template.LaTeX users, unzip acmart.zip, make, and use sample-sigconf.tex as a template; Additional information about formatting and style files is available online at: http://www.acm.org/sigs/publications/proceedings-templates.Papers that do not meet the formatting requirements will be rejected without review. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility.Website Submissions for KDD 2018 will be open soon.Important policiesReproducibilitySubmitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Authors are strongly encouraged to make their code and data publicly available whenever possible. Algorithms and resources used in a paper should be described as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results. The reproducibility factor will play an important role in the assessment of each submission.AuthorshipEvery listed author must take responsibility for the entire content of a paper. Note that changes to the author list after the submission deadline is not allowed.Dual submissionsSubmitted papers must describe work that is substantively different from work that has already been published, or accepted for publication, or submitted in parallel to other conferences or journals.However, there are some exceptions to this rule.
Submission to KDD is permitted of a shorter version of a paper that has been submitted to a journal, but has not yet been published in that journal. Authors must declare such dual-submissions on the submission form. Authors must make sure that the journal in question allows dual concurrent submissions to conferences.
Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.
Submission is permitted for papers that have previously been made available as a technical report or similar, in particular in arXiv.Conflicts of interestDuring the submission process, enter the email domains of all institutions with which you have an institutional conflict of interest. You have an institutional conflict of interest if you are currently employed or have been employed at this institution in the past three years, or you have extensively collaborated with this institution within the past three years. Authors are also required to identify all PC/SPC members with whom they have a conflict of interest, e.g., advisor, student, colleague, or coauthor in the last five years.AttendanceFor each accepted paper, at least one author must attend the conference and present the paper. Authors of all accepted papers must prepare a final version for publication, a poster, and a three-minute short video presentation (details will be in the acceptance notification).
Submission Deadline
KDD 2019: ACM SIGKDD Conference on Knowledge Discovery and Data Mining submission deadline is 2019-02-03.
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 KDD 2019: ACM SIGKDD Conference on Knowledge Discovery and Data Mining is 2019-04-28.
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
KDD 2019: ACM SIGKDD Conference on Knowledge Discovery and Data Mining will start on 2019-08-03.
Note: This is the date on which the conference starts.
Conference Location
KDD 2019: ACM SIGKDD Conference on Knowledge Discovery and Data Mining will be organized at Anchorage, Alaska, USA. This is the place where the conference is organized and the research paper is to be presented.
