Zobrazeno 1 - 10
of 646
pro vyhledávání: '"Data Publication"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 201-213 (2024)
Aiming at the current problem of insufficient security in clustering data collection and publication, in order to protect user privacy and improve data quality in clustering data, a privacy protection method for K-Modes clustering data collection and
Externí odkaz:
https://doaj.org/article/e5d12a62315e48ec867f9422aa644c68
Publikováno v:
بازیابی دانش و نظامهای معنایی, Vol 10, Iss 37, Pp 1-28 (2023)
IntroductionThe emergence of the web facilitated the retrieval of information. This made libraries as one of the most important centers of information considering the web for the information retrieval process. However, the fast change of the web lead
Externí odkaz:
https://doaj.org/article/dc31f9e2ed0b410f852e46277840e35f
Autor:
C. Annemieke Romein, Tobias Hodel, Femke Gordijn, Joris J. van Zundert, Alix Chagué, Milan van Lange, Helle Strandgaard Jensen, Andy Stauder, Jake Purcell, Melissa M. Terras, Pauline van den Heuvel, Carlijn Keijzer, Achim Rabus, Chantal Sitaram, Aakriti Bhatia, Katrien Depuydt, Mary Aderonke Afolabi-Adeolu, Anastasiia Anikina, Elisa Bastianello, Lukas Vincent Benzinger, Arno Bosse, David Brown, Ash Charlton, André Nilsson Dannevig, Klaas van Gelder, Sabine C.P.J. Go, Marcus J.C. Goh, Silvia Gstrein, Sewa Hasan, Stefan von der Heide, Maximilian Hindermann, Dorothee Huff, Ineke Huysman, Ali Idris, Liesbeth Keijzer, Simon Kemper, Sanne Koenders, Erika Kuijpers, Lisette Rønsig Larsen, Sven Lepa, Tommy O. Link, Annelies van Nispen, Joe Nockels, Laura M. van Noort, Joost Johannes Oosterhuis, Vivien Popken, María Estrella Puertollano, Joosep J. Puusaag, Ahmed Sheta, Lex Stoop, Ebba Strutzenbladh, Nicoline van der Sijs, Jan Paul van der Spek, Barry Benaissa Trouw, Geertrui Van Synghel, Vladimir Vučković, Heleen Wilbrink, Sonia Weiss, David Joseph Wrisley, Riet Zweistra
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2024)
This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recognition infrastructures, as well as ways to reference and acknowledge contributions to the creation and enrichment of data within these systems. We discu
Externí odkaz:
https://doaj.org/article/ea84b34fe57049028abec86cfe92322a
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-15 (2023)
Abstract This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed approach enables the acquisition of new insights from the data by exploiting existing relationsh
Externí odkaz:
https://doaj.org/article/6874a5db571e4097baaf3a09ea3ba980
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 393-404 (2023)
Anonymization technique has been extensively studied and widely applied for privacy-preserving data publishing. In most previous approaches, a microdata table consists of three categories of attributes, namely explicit-identifier, quasi-identifier (Q
Externí odkaz:
https://doaj.org/article/fb2fa4c618ee451ea7dfb25656682204
Publikováno v:
Meteorologische Zeitschrift, Vol 31, Iss 6, Pp 493-504 (2022)
Scientific data should be published in a way so that other scientists can benefit from these data, enabling further research. The FAIR Data Principles are defining the basic prerequisite for a good data publication: data should be Findable, Accessibl
Externí odkaz:
https://doaj.org/article/f5e983e392034863be7d8f0af9fab2bc
Publikováno v:
Data Science Journal, Vol 23, Pp 1-1 (2024)
Attribution of datasets that were used to generate research results described in peer-reviewed publications to the original source of these datasets (which are often archived at NASA Earth Science data centers) has been very challenging. Even though
Externí odkaz:
https://doaj.org/article/3eb39d9be1a440f191a5583ec6625b7c
Autor:
Biernacka, Katarzyna
Diese Studie untersucht umfassend Barrieren bei der Veröffentlichung von Forschungsdaten im Bereich Learning Analytics (LA) mithilfe eines Mixed-Methods-Ansatzes. Methodologisch gegliedert in vier Phasen – Systematic Literature Review (SLR), Leitf
Externí odkaz:
http://edoc.hu-berlin.de/18452/30139
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