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pro vyhledávání: '"ÖZCAN, Fatma"'
Autor:
Chronis, Yannis, Wang, Yawen, Gan, Yu, Abu-El-Haija, Sami, Lin, Chelsea, Binnig, Carsten, Özcan, Fatma
Cardinality estimation is crucial for enabling high query performance in relational databases. Recently learned cardinality estimation models have been proposed to improve accuracy but there is no systematic benchmark or datasets which allows researc
Externí odkaz:
http://arxiv.org/abs/2408.16170
Autor:
Park, Seo Jin, Govindan, Ramesh, Shen, Kai, Culler, David, Özcan, Fatma, Kim, Geon-Woo, Levy, Hank
Traditional cluster designs were originally server-centric, and have evolved recently to support hardware acceleration and storage disaggregation. In applications that leverage acceleration, the server CPU performs the role of orchestrating computati
Externí odkaz:
http://arxiv.org/abs/2309.12665
Publikováno v:
Foundations and Trends in Databases 2022 Vol. 11: No. 4, pp 319-414
Recent advances in NLU and NLP have resulted in renewed interest in natural language interfaces to data, which provide an easy mechanism for non-technical users to access and query the data. While early systems evolved from keyword search and focused
Externí odkaz:
http://arxiv.org/abs/2212.13074
Autor:
İrgi, Tuğçe, Baycan, Ömer Faruk, Güvenç, Tolga Sinan, Özcan, Fatma Betül, Atıcı, Adem, Yılmaz, Yusuf, Çalişkan, Mustafa
Publikováno v:
In American Heart Journal Plus: Cardiology Research and Practice May 2024 41
Medical knowledge bases (KBs), distilled from biomedical literature and regulatory actions, are expected to provide high-quality information to facilitate clinical decision making. Entity disambiguation (also referred to as entity linking) is conside
Externí odkaz:
http://arxiv.org/abs/2104.01488
The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediating bias in KGs, but also identifying other biases such as how and whic
Externí odkaz:
http://arxiv.org/abs/2007.11659
Enterprises are creating domain-specific knowledge graphs by curating and integrating their business data from multiple sources. The data in these knowledge graphs can be described using ontologies, which provide a semantic abstraction to define the
Externí odkaz:
http://arxiv.org/abs/2003.11580
Akademický článek
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Akademický článek
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Publikováno v:
In Sustainable Chemistry and Pharmacy June 2023 33