We have developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a domain- ...
We propose a data mining approach to reveal learner`s collaboration in open ... awareness on collaboration features in open collaborative learning frameworks.
We have developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a domain- ...
A scalable data mining method is developed, whose objective is to infer information on the collaboration during the collaboration process in a ...
Antonio R. Anaya, Jesus Boticario: A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks.
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks. AR Anaya, JG Boticario. International Working ...
A data mining approach to reveal representative collaboration indicators in open collaboration frameworks ; ISBN · 9788461323081 ; Datum der Publikation · 2009.
A Data-Driven Approach to Monitor and Improve Open and FAIR ...
datascience.codata.org › dsj-2024-041
In this contribution we present a data-driven approach to monitoring and assessing the state of open and FAIR data in an interdisciplinary, federated research ...
We perform a data-driven detection and characterization of collaboration in MOOCs. We detect collaborating couples but also larger communities of accounts.
Mar 20, 2024 · Research by PLOS and Research Consulting has found there is a growing need for Open Science Indicators (Open Science monitoring solutions) among some funders ...