Data Mining for the Analysis of Performance and Success
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: closed (15 December 2017) | Viewed by 7560
Special Issue Editors
Interests: data science; Internet of things; distributed computing
Interests: sports analytics; sport science
Special Issues, Collections and Topics in MDPI journals
Interests: data science; complex systems; machine learning
Special Issue Information
Dear Colleagues,
The Data mining for the Analysis of Performance and Success workshop will be held on the 18th of November 2017, in New Orleans (USA). Though this is the second edition of the workshop, the research community is positively reacting to the emerging challenges related to the so-called Science of Success. With this Special Issue we look forward to summarizing remarkable contributions in big data tools for performance analytics, predictive models for success, analysis of collective success, well-being, and development, made by the academic community attending to DAPS.
Dr. Paolo CintiaDr. Alessio Rossi
Dr. Luca Pappalardo
Prof. Roberta Sinatra
Guest Editors
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Keywords
- Data mining
- Data Science
- Performance analytics
- Science of success
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