KDD: Knowledge Discovery and Data Mining



Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
KDD 2018 Knowledge Discovery and Data Mining Conference
Aug 19, 2018 - Aug 23, 2018 London, UK Feb 11, 2018
KDD Cup 2017 Call for Proposals
Aug 13, 2017 - Aug 17, 2017 Halifax, Nova Scotia, Canada Dec 9, 2016
KDD 2016 22nd ACM SIGKDD international conference on knowledge discovery and data mining
Aug 13, 2016 - Aug 17, 2016 San Francisco, USA Feb 12, 2016
KDD 2015 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Aug 10, 2015 - Aug 13, 2015 Sydney, Australia Feb 20, 2015
KDD 2014 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Aug 24, 2014 - Aug 27, 2014 New York, USA Feb 21, 2014 (Feb 13, 2014)
KDD 2013 ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Aug 11, 2013 - Aug 14, 2013 Chicago, USA Feb 22, 2013 (Feb 15, 2013)
KDD 2012 18th ACM SIGKDD Knowledge Discovery and Data Mining
Aug 12, 2012 - Aug 16, 2012 Beijing, China Feb 10, 2012
KDD 2011 The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Aug 21, 2011 - Aug 24, 2011 San Diego, California Feb 18, 2011 (Feb 11, 2011)
KDD 2010 The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Jul 25, 2010 - Jul 28, 2010 Washington DC, USA Feb 5, 2010 (Feb 2, 2010)
KDD 2009 The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Jun 28, 2009 - Jul 1, 2009 Paris, France Feb 6, 2009 (Feb 2, 2009)
KDD 2008 The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Aug 24, 2008 - Aug 27, 2008 Las Vegas, USA Feb 29, 2008 (Feb 22, 2008)

Present CFP : 2018

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 should be made at https://easychair.org/conferences/?conf=kdd18

Important policies


Submitted 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.


Every 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 submissions

Submitted 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 interest

During 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.


For 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).


Accepted papers will be published in the conference proceedings by ACM and also appear in the ACM Digital Library. The rights retained by authors who transfer copyright to ACM can be found at http://www.acm.org/publications/policies/copyright_policy#Retained. For accepted papers, the authors also agree that the papers will also be made available to general public on the KDD website immediately after the camera ready submission (June 9, 2018). If you have an objection to your papers being posted on the KDD site prior to the conference please send us an email at:


Chih-Jen Lin and Hui Xiong

Research Track PC Chairs of KDD-2018

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