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

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1
BDA 2020 — The Eighth International Conference on Big Data Analytics
15 dec 2020 - 18 dec 2020 • Sonepat, Inde
Organisateur:
Ashoka University
Résumé:
The 8th International Conference on Big Data Analytics (BDA 2020) will be held during December 15-18, 2020 at Ashoka University, India. The conference will be organized by Ashoka University. BDA 2020 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.
Contact:
Technical Program Committee;     Email.: vikram@iiitd.ac.in
Sujets:
Data Mining, Databases, Big Data Analytics, Information Processing, Topic Modeling, Data Models
Identifiant de l'évènement:
1365468
2
WSDM 2021 — ACM International Conference on Web Search and Data Mining
08 mar 2021 - 12 mar 2021 • Jerusalem, Israël
Organisateur:
Association for Computing Machinery (ACM)
Résumé:
WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. The 14th ACM International WSDM Conference will take place in Jerusalem, Israel. WSDM is a highly selective conference that includes refereed full papers as well as invited talks. WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled approaches.
Identifiant de l'évènement:
1358870
3
SDM21 — SIAM International Conference on Data Mining
25 mar 2021 - 27 mar 2021 • Alexandria, Virginia, États-Unis
Organisateur:
Society for Industrial and Applied Mathematics (SIAM)
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.
Sujets:
This conference is held in cooperation with the American Statistical Association.
Identifiant de l'évènement:
1375376
4
SDM21 — SIAM International Conference on Data Mining
29 avr 2021 - 01 mai 2021 • Virtual Conference, États-Unis
Organisateur:
Society for Industrial and Applied Mathematics (SIAM)
Résumé:
Sponsored by the SIAM Activity Group on Data Mining and Analytics.
Identifiant de l'évènement:
1380564


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Dernière mise à jour: 26 Septembre 2020