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

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SBSE 2020 — 12th Symposium on Search-Based Software Engineering
07 oct 2020 - 08 oct 2020 • Bari, Italie
Search-based Software Engineering (SBSE) is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges – from test generation, to design refactoring, to process organization – can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field – sitting at the crossroads between AI, machine learning, and software engineering – and SBSE techniques have begun to attain human-competitive results. The Symposium on Search-Based Software Engineering is a venue dedicated to the SBSE research field. The 12th symposium will be held this year in Bari, Italy, co-located with the Empirical Software Engineering International Week (ESEIW 2020).
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ICDM 2020 — 20th IEEE International Conference on Data Mining
17 nov 2020 - 20 nov 2020 • Sorrento, Italie
The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning,databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining.
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BDA 2020 — The Eighth International Conference on Big Data Analytics
15 dec 2020 - 18 dec 2020 • Sonepat, Inde
Ashoka University
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.
Technical Program Committee;     Email.:
Data Mining, Databases, Big Data Analytics, Information Processing, Topic Modeling, Data Models
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WSDM 2021 — ACM International Conference on Web Search and Data Mining
08 mar 2021 - 12 mar 2021 • Jerusalem, Israël
Association for Computing Machinery (ACM)
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.
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SDM21 — SIAM International Conference on Data Mining
25 mar 2021 - 27 mar 2021 • Alexandria, Virginia, États-Unis
Society for Industrial and Applied Mathematics (SIAM)
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.
This conference is held in cooperation with the American Statistical Association.
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Dernière mise à jour: 31 Août 2020