Konferenzen zum Thema Suchmaschinen und Data-Mining in Italien

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1
SBSE 2020 — 12th Symposium on Search-Based Software Engineering
07. Okt 2020 - 08. Okt 2020 • Bari, Italien
Zusammenfassung:
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).
Eintrags-ID:
1308439
Verwandte Fachgebiete:
2
ICDM 2020 — 20th IEEE International Conference on Data Mining
17. Nov 2020 - 20. Nov 2020 • Sorrento, Italien
Zusammenfassung:
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.
Eintrags-ID:
1359630


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Stand vom 02. Juni 2020