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When: Jan 10, 2023 - Jan 12, 2023 Submission Deadline: Aug 10, 2022 | ||
★GBDE 2023★ - [Ei Compendex, Scopus] • Full name: 2023 The 3rd Global Big Data Engineering Symposium (GBDE 2023)--EI Compendex, Scopus • Abbreviation: GBDE 2023 • Hangzhou, Chin... | ||
DATA MINING INFORMATION TECHNOLOGY INTERNET OF THINGS BLOCKCHAIN | ||
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When: Aug 22, 2022 - Aug 24, 2022 Submission Deadline: Jun 6, 2022 | ||
26th International Database Engineeringed Applications Symposium • IDEAS 2022 • ELTE University • Budapest, Hungary • August 22 - 24, 2022, • Call for Papers/Participati... | ||
DATA BASE DATA MINING DATA SECURITY GIS | ||
![]() SEBD 2022 : 30th Symposium on Advanced Database SystemsTirrenia, Pisa (Tuscany), Italy |
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When: Jun 19, 2022 - Jun 22, 2022 Submission Deadline: Mar 21, 2022 | ||
SEBD 2022 (CFP) • 30th Italian Symposium on Advanced Database Systems • Tirrenia, Pisa (Italy), June 19-22, 2022 • https://sebd2022.isti.cnr.it/ • The 30th edition of the Ital... | ||
DATABASES DATA MINING SEMANTIC WEB BIG DATA | ||
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When: Aug 24, 2022 - Aug 26, 2022 Submission Deadline: May 8, 2022 | ||
Theme • The 11th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2022) will be held from August 24th to 26th, 2022, at University of Brighton, United Kingdom. Submis... | ||
MACHINE LEARNING ARTIFICIAL INTELLIGENCE DATA MINING ALGORITHMS | ||
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When: Sep 4, 2022 - Sep 7, 2022 Submission Deadline: May 10, 2022 | ||
The RSTA symposium is devoted to the state-of-the-art and future perspectives of rough sets considered from both a theoretical standpoint and real-world applications. Rough set theory is a highly dev... | ||
ROUGH SETS DATA MINING MACHINE LEARNING | ||
![]() ICS 2020 : INTERNATIONAL COMPUTER SYMPOSIUMTainan, Taiwan |
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When: Dec 17, 2020 - Dec 19, 2020 Submission Deadline: Sep 01, 2020 | ||
International Computer Symposium (ICS) is one of the most prestigious international ICT symposiums held in Taiwan. Founded in 1973, it is intended to provide a forum for researchers, educators, and pr... | ||
ARTIFICIAL INTELLIGENCE DATA MINING MACHINE LEARNING NETWORK | ||
![]() IEEE CIDM 2020 : IEEE Symposium on Computational Intelligence in Data MiningCanberra, Australia |
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When: Dec 01, 2020 - Dec 04, 2020 Submission Deadline: Aug 07, 2020 | ||
IEEE CIDM 2020 organized by the IEEE Computational Intelligence Society Data Mining Technical Committee is one of the largest and best attended symposia of the of the IEEE Symposium Series of Computat... | ||
DATA MINING | ||
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When: Aug 22, 2020 - Aug 23, 2020 Submission Deadline: May 10, 2020 | ||
Social Networks and Big Data have pervaded all aspects of our daily lives. With their unparalleled popularity, social networks have evolved from the platforms for social communication and news dissemi... | ||
COMPUTER SCIENCE INFORMATION SECURITY DATA MINING MACHINE LEARNING | ||
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When: Dec 6, 2019 - Dec 9, 2019 Submission Deadline: Aug 1, 2019 | ||
2019 IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS 2019) at • 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) • 6 December – 9 Decem... | ||
SECURITY MACHINE LEARNING ARTIFICIAL INTELLIGENCE DATA MINING | ||
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When: Oct 7, 2019 - Oct 8, 2019 Submission Deadline: Jun 30, 2019 | ||
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FORMAL MODELS EMPIRICAL MODELLING DATA MINING MACHINE LEARNING | ||
![]() SEBD 2019 : SEBD 2019: 27th Italian Symposium on Advanced Database SystemsCastiglione Della Pescaia, Italy |
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When: Jun 16, 2019 - Jun 19, 2019 Submission Deadline: Mar 18, 2019 | ||
SEBD 2019 • 27th Italian Symposium on Advanced Database Systems • Castiglione della Pescaia (GR), Italy, June 16-19, 2019 • The 2019 edition of the SEBD Symposium will be jointly org... | ||
BIG DATA AND SMART COMPUTING DISTRIBUTED AND PARALLEL DATAB DATA MINING | ||
![]() COPA 2019 : 8th Symposium on Conformal and Probabilistic Prediction with ApplicationsGolden Sands, Bulgaria |
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When: Sep 9, 2019 - Sep 11, 2019 Submission Deadline: May 15, 2019 | ||
Theme • The main purpose of conformal prediction is to complement predictions delivered by various algorithms of Machine Learning with provably valid measures of their accuracy and reliability u... | ||
MACHINE LEARNING DATA MINING | ||
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