CALL FOR NOMINATIONS: 2017 SIGKDD Doctoral Dissertation Award
KDD 2017 Call for Tutorials
Continuing the tradition of bridging the gap between research and application, we are excited to call for participation in two flavors of tutorials at KDD 2017:
- Traditional Tutorials
- Hands-on Tutorials.
A Traditional Tutorial will cover the state-of-the-art research, development and applications in a specific data mining related area, and stimulate and facilitate future work. Tutorials on interdisciplinary directions, novel and fast growing directions, and significant applications are highly encouraged. We also encourage tutorials in areas that are somewhat different from the usual KDD mainstream, but still very much related to KDD mission and objectives of gaining insight from data.
A Hands-on Tutorial will feature in-depth hands-on training on cutting edge systems and tools of relevance to data mining and machine learning community. These sessions are targeted at novice as well as moderately skilled users. The focus should be on providing hands-on experience to the attendees. The pace of the tutorial should be set such that beginners can follow along comfortably. The tools & systems themselves must be available under open-source licenses (e.g. Apache 2.0, MIT, BSD etc.) and have proven track record of success in the community. Tutorials should introduce the motivation behind the tool, associated fundamental concepts, and work through examples and demonstrate its application to relatable real-life use cases.Read More
KDD 2017 Call for Workshop Proposals
The KDD 2017 organizing committee solicits proposals for full-day and half-day workshops to be held in conjunction with the main conference. The purpose of a workshop is to provide an opportunity for participants from academia, industry, government and other related parties to present and discuss novel ideas on current and emerging topics relevant to knowledge discovery and data mining. Workshops are scheduled for August 14, 2017.Read More
KDD 2017 Call for Applied Data Science Papers
We invite submissions of papers describing designs and implementations of solutions and systems for practical tasks in data mining, data analytics, data science, and applied machine learning.
Application domains of interest include, but are not limited to, education, transportation, manufacturing, finance, retail, healthcare, e-commerce, telecommunications, law, public policy, government, and nonprofit settings. The primary emphasis is on papers that advance the understanding of, and show how to deal with, practical issues related to deploying data science technologies. This track also highlights new research challenges motivated by analytics and data science applications in the real world.Read More
KDD 2017 Call for Research Papers
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.Read More
KDD Cup 2017 Call for Proposals
We invite organization proposals for KDD Cup 2017. Starting from 1997, KDD Cup has been the most prestigious annual data mining competition held in conjunction with the ACM SIGKDD conference on Knowledge Discovery and Data Mining.
KDD 2017 will be held in Halifax, Canada from Aug 14th to Aug 17th, 2017. The competition is anticipated to last for 2~4 months, and the winner is supposed to be notified by mid-June. The winners will be announced during the KDD conference and present their solutions in the KDD Cup workshop during the conference.
This call for proposal solicits industry or academic institutes to submit their proposal as the potential organizer of the 2017 KDD Cup competition. We are looking for a strong proposal that contains most of the following features from a proposed task: a novel and motivated goal, a rigid and fair setup, challenging yet manageable task, and accessibility to the public.Read More
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Halifax, Nova Scotia - Canada