Registration open for KDD 2014 – Best Data Mining and Data Science Research
KDD 2014, held Aug 24-27 in New York City, brings you the best research and the state of the art in Knowledge Discovery, Data Mining, and Data Science. Registration is now open - early rate till July 15.
By Gregory Piatetsky, May 23, 2014.
KDD-2014, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
to be held August 24-27, 2014, New York, NY, USA is the
the leading research conference in Data Mining, Data Science, and Knowledge Discovery.
KDD 2014 will bring together researchers and practitioners from all aspects of data science, data mining, knowledge discovery, large-scale data analytics, and big data.
This year KDD features
Register by July 15, 2014 to enjoy early bird registration rates and special hotel rates.
www.kdd.org/kdd2014/registration.html
KDD-2014 has 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.
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KDD 2014 will bring together researchers and practitioners from all aspects of data science, data mining, knowledge discovery, large-scale data analytics, and big data.
This year KDD features
- 4 keynotes from
- Dr. Oren Etzioni (Allen Institute for Artificial Intelligence),
- Dr. Eric Horvitz (Director, Microsoft Research),
- Dr. Eric Schadt (Director, Icahn Institute for Genomics and Multiscale Biology),
- Prof. Sendhil Mullainathan (Professor of Economics, Harvard University)
- 151 Research Track papers,
- 44 Industry & Government Track papers,
- 12 tutorials,
- 25 workshops
- the KDD Cup challenge, (due July 15),
- the BPDM (Broadening Participation in Data Mining) program, and more!
Register by July 15, 2014 to enjoy early bird registration rates and special hotel rates.
www.kdd.org/kdd2014/registration.html
KDD-2014 has 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.
Related: