Paper submission and deadlines

Submission date: February 12, 2016

Notification date: May 12, 2016

Camera Ready: June 12, 2016

Short Promotional Video (Required): June 17, 2016

Source Code and Presentation (Optional): June 17, 2016

Note: This year, (aside from the usual ACM/Sheridan-centric camera ready procedures) we will ask authors to make electronic versions of their manuscripts available at a publicly hosted Website immediately after acceptance, and give them the option of updating it at the camera ready deadline when they submit official versions to ACM/Sheridan printing.


KDD accepts only electronic submissions in PDF format at (Active for submissions only in January, 2016)


The deadline for submission is February 12, 2016, at 11:59PM Pacific Standard Time.

Description of the Applied Data Science track

We invite submissions of papers describing research and implementations of data mining/data analytics/big data/data science solutions and systems for practical tasks and practical settings. The application domains of interest include, but are not limited to education, transportation, real-estate, manufacturing, finance, retail, healthcare, e-commerce, telecommunications, law, public policy, government, or non-profit settings. Our primary emphasis is on papers that advance the understanding of, and show how to deal with, practical issues related to deploying analytics technologies. This track also highlights new research challenges motivated by analytics and data mining applications in the real world.

Submitted papers will go through a competitive peer review process. The Applied Data Science Track is distinct from the Research Track in that submissions solve real-world problems and focus
on systems that are deployed or are in the process of being deployed. Submissions must clearly identify one of the following three areas they fall into: “deployed”, “discovery”, or “emerging”.

The criteria for submissions in each category are as follows:

  • Deployed: Must describe deployment of a system that solves a non-trivial real-world problem. The focus should be on describing the problem, its significance, decisions and tradeoffs made when making design choices for the solution, deployment challenges, and lessons learned.
  • Discovery: Must include results that are discoveries with demonstrable value to an industry or government organization. This discovered knowledge must be “externally validated” as interesting and useful; it cannot simply be a model that has better performance on some traditional evaluation metrics such as accuracy or area under the curve. A new business insight enabled by the use of data mining techniques (e.g., user interests match those of their friends on social networks) is an example of what this category will include.
  • Emerging: Submissions do not have to be deployed but must have clear applications to distinguish them from KDD research papers. They may also provide insight into issues and factors that affect the successful use and deployment of Data Mining and Analytics. Papers that describe enabling infrastructure for large-scale deployment of Data Mining and analytics techniques also fall in this category.

Note: 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 carefully read the track descriptions and choose an appropriate track for their submissions.

Evaluation and decision criteria

As per KDD tradition, reviews are not double-blind, and author names and affiliations should be listed.

Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible.

Papers will be reviewed by members of the KDD program committee and decisions will be emailed to all authors by May 12, 2016. Note that there will be an author response phase between submission and decisions.

Formatting requirements

Papers are limited to 10 pages, including references, diagrams, and appendices, if any. The format is the standard double column ACM Proceedings Template, Tighter Alternate style.

Additional information about formatting and style files are available online at:

Note: Papers that do not meet the formatting requirements will be rejected without review.

Dual submission policy

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 to journals. Such submissions violate our dual submission policy.

There are several exceptions to this rule:

  • Submission is permitted of a short 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 either through the CMT submission form, or via email to the program chairs ( It is the authors’ responsibility to 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, e.g., in arXiv).


The rights retained by authors who transfer copyright to ACM can be found here.