posted by user: mesosbrodleto || 2712 views || tracked by 9 users: [display]

DAPS 2016 : Data mining for the Analysis of Performance and Success

FacebookTwitterLinkedInGoogle

Link: http://kdd.isti.cnr.it/daps2016/
 
When Dec 12, 2016 - Dec 12, 2016
Where Barcelona (Spain)
Submission Deadline Aug 1, 2016
Notification Due Sep 13, 2016
Final Version Due Sep 20, 2016
Categories    data mining   science of success   performance analytics   sports analytics
 

Call For Papers

The First International Workshop on Data mining for the Analysis of Performance and Success (DAPS 2016) will be held in conjunction with The IEEE International Conference on Data Mining series (ICDM) on 12th Dec 2016, in Barcelona, Spain.

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.

Related Resources

ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
ADAH 2017   Advanced Data Analytics in Health
ICDM 2017   IEEE International Conference on Data Mining 2017
ACML 2017   The 9th Asian Conference on Machine Learning
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
IDA 2017   The Sixteenth International Symposium on Intelligent Data Analysis
SC 2017   The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing)
DMBD 2017   DMBD'2017:Call for Papers (Jan. 30, 2017)
WSDM 2018   The 11th ACM International Conference on Web Search and Data Mining
DMCIT 2017   ACM-2017 International Conference on Data Mining, Communications and Information Technology(DMCIT 2017)--EI