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DAPS 2017 : Data mining for the Analysis of Performance and Success (workshop @ ICDM2017)

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Link: http://kdd.isti.cnr.it/daps2017/
 
When Nov 18, 2017 - Nov 18, 2017
Where New Orleans
Submission Deadline Aug 7, 2017
Notification Due Sep 7, 2017
Final Version Due Sep 21, 2017
Categories    data mining   performance   science of success
 

Call For Papers

The Second International Workshop on Data mining for the Analysis of
Performance and Success (DAPS 2017) will be held in conjunction with The IEEE
International Conference on Data Mining series (ICDM) on 18th Nov 2017, in New
Orleans, USA.
The increasing availability of Big Data, able to capture diverse collective
phenomena, provides an unprecedented opportunity to explore the patterns
underlying success. From the strategies followed by successful sportsmen to the
emergence of runaway videos on YouTube, from popularity in social media to
rising starts in the scientific enterprise, from widespread technologies to
groundbreaking innovations, there is wealth of data that can be explored to
answer common questions: How can we measure performance? What are the
common patterns of success? How did successful individuals and products get to
the top? What are the principles driving the dynamics of success? These are the
challenging questions at the core of the emerging Science of Success, an
interdisciplinary field that is attracting scientists from different scientific
backgrounds.
The purpose of this workshop is to bring together researchers from a variety of
areas, all working on the problem of analyzing and understanding the patterns of
success, though from different angles. The aim is to discuss: 1) the recently
developed machine learning and data mining techniques that can be leveraged to
address challenges in analyzing performance and success, and 2) starting from
challenges in analyzing performance and success, the practical research
directions in the machine learning and data mining community.

Extended versions of relevant accepted papers can be submitted to the special Issue of Information - Open Access Information Science Journal:

www.mdpi.com/journal/information/special_issues/DAPS_Analysis


For more information visit the workshop website: http://kdd.isti.cnr.it/daps2017,
and the ICDM conference website: http://icdm2017.bigke.org/. You can follow
news about DAPS2017 on Twitter (@DAPSworkshop) and Facebook
(https://www.facebook.com/DAPSworkshop/)

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