Special Issue "Data Mining for the Analysis of Performance and Success"
Deadline for manuscript submissions: 15 December 2017
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 Cintia
Dr. Alessio Rossi
Dr. Luca Pappalardo
Prof. Roberta Sinatra
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Data mining
- Data Science
- Performance analytics
- Science of success