KDD 2014 Call for Papers, Workshops, Tutorials and Sponsorships
KDD 2014, the leading research conference in the field, will bring together researchers and practitioners from all aspects of data mining, knowledge discovery, and large-scale data analytics. This year special theme is Data Mining for Social Good. Abstracts due Feb 13.
KDD-2014, 20th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining
August 24-27, 2014, New York, NY, USA.
Welcome to KDD 2014, an interdisciplinary conference that brings together researchers and practitioners from all aspects of data mining, knowledge discovery, and large-scale data analytics.
This year, we have a special theme: Data Mining for Social Good. It will highlight how the work of data analytics researchers and practitioners contributes towards social good, and how these high impact social problems provide a rich set of challenges for KDD researchers to work on.
Visit www.kdd.org/kdd2014/calls.html for more details on review criteria!
Research Track, Industry & Government track
Paper submission and deadlines
KDD accepts only electronic submissions in PDF format at https://cmt.research.microsoft.com/KDD2014/
Deadlines:
- Abstracts must be electronically submitted by Thursday, February 13, 2014, 11:59 pm Pacific Standard Time.
- Papers must be electronically submitted by Friday, February 21, 2014, 11:59 pm Pacific Standard Time.
Call for workshops
The ACM KDD 2014 organizing committee would like to invite proposals for workshops to be held in conjunction with the conference.
The goal of the workshops is to provide an informal forum to discuss important research questions and practical challenges in data mining and related areas.
Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged as workshop topics. Representation of alternative viewpoints and panel-style discussions are also particularly encouraged for all the workshops.
Possible workshop topics include all areas of data mining and knowledge discovery, machine learning, statistics, and data and information sciences, but are not limited to these. Interdisciplinary workshops with applications of data mining and data sciences to various disciplines (such as medicine, biology, sustainability, ecology, social sciences, humanities, or aerospace) are of high interest.
For more information, visit www.kdd.org/kdd2014/calls.html#calls-call-for-workshops
KDD 2014 Call for Tutorial Proposals
KDD-2014 will feature tutorials on topics of interests to the research community as well as industry practitioners. We invite proposals for tutorials from active researchers and experienced industry practitioners.
We seek tutorials covering the state-of-the-art research, cutting-edge industry development and applications, and practical tools in a data mining direction that stimulate and facilitate future work. Tutorials on interdisciplinary directions, novel and fast growing directions, and significant applications are highly encouraged.
We solicit proposals of tutorials of two types: (1) lecture style short courses about data mining technical research and development, and (2) hands-on style for practical skills and tools. Each tutorial should be about 3 hours in length.
Proposals should be received by Saturday, March 1st. Please submit by email to: tutorials@kdd14.org with subject heading: "KDD14 Tutorial Proposal Submission"
Sponsorship Opportunities:
Become a sponsor and support the largest community of data mining and data science practitioners across academia and industry! For opportunities contact: sponsors@kdd2014.org
For details about SIGKDD please visit: www.sigkdd.org
