Conférences - Moteurs de recherche et extraction de connaissances à partir de données (ECD)

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1
WSDM — ACM International Conference on Web Search and Data Mining
05 fév 2020 - 09 fév 2020 • Houston, États-Unis
Identifiant de l'évènement:
1250988
2
CHIIR 2020 — ACM SIGIR Conference on Human Information Interaction and Retrieval
14 mar 2020 - 18 mar 2020 • Vancouver, Canada
Résumé:
CHIIR provides a forum for the dissemination and discussion of research on the user-centered aspects of information interaction and information retrieval. CHIIR focuses on elements such as human involvement in search activities, and information seeking and use in context. The conference represents a merger of two successful past events: the Information Interaction in Context conference (IIiX) and the Human Computer Information Retrieval symposium (HCIR).
Identifiant de l'évènement:
1226982
3
SDM20 — SIAM International Conference on Data Mining
07 mai 2020 - 09 mai 2020 • Cincinnati, Ohio, États-Unis
Résumé:
Data mining is the computational process for discovering valuable knowledge from data - the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.
Identifiant de l'évènement:
1250671
4
EDM 2020 — 13th International Conference on Educational Data Mining
10 jul 2020 - 13 jul 2020 • Ifrane, Maroc
Résumé:
Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to raw log files, student-produced artifacts, discourse, and multimodal streams such as eye-tracking and other sensor data. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.
Sujets:
Improving Learning Outcomes for All Learners
Identifiant de l'évènement:
1294086
5
SIGKDD — ACM SIGKDD International Conference on Knowledge discovery and data mining
22 aou 2020 - 27 aou 2020 • San Diego, États-Unis
Organisateur:
Association of Computing Machinery (acm)
Identifiant de l'évènement:
1275361


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Dernière mise à jour: 15 Novembre 2019