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Strategies and guidelines for scholarly publishing of biodiversity data [PDF]
Research Ideas and Outcomes, 2017 The present paper describes policies and guidelines for scholarly publishing of biodiversity and biodiversity-related data, elaborated and updated during the Framework Program 7 EU BON project, on the basis of an earlier version published on Pensoft's ...
Lyubomir Penev +12 more
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Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion
ISPRS International Journal of Geo-Information, 2021 Publication of trajectory data that contain rich information of vehicles in the dimensions of time and space (location) enables online monitoring and supervision of vehicles in motion and offline traffic analysis for various management tasks. However, it
Songyuan Li +3 more
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PUBLISHING STATISTICAL DATA ON THE WEB [PDF]
International Journal of Semantic Computing, 2012 Statistical data is one of the most important sources of information, relevant for large numbers of stakeholders in the governmental, scientific and business domains alike. In this article, we overview how statistical data can be managed on the Web.
Percy Enrique Rivera Salas +5 more
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Next Steps in Data Publishing [PDF]
Neuroinformatics, 2011 Many different stylistic types of publication are necessary to support the various types of information that this journal is designed to serve. Specifically, Neuroinformatics currently supports publication of the following article types: Original Article, News Item, Editorial, Commentary, and Review.
David N. Kennedy +2 more
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Medical data publishing based on average distribution and clustering
CAAI Transactions on Intelligence Technology, 2022 Most of the data publishing methods have not considered sensitivity protection, and hence the adversary can disclose privacy by sensitivity attack.
Tong Yi, Minyong Shi, Haibin Zhu
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SSKM_DP: Differential Privacy Data Publishing Method via SFLA-Kohonen Network
Applied Sciences, 2023 Data publishing techniques have led to breakthroughs in several areas. These tools provide a promising direction. However, when they are applied to private or sensitive data such as patient medical records, the published data may divulge critical patient
Zhiguang Chu +5 more
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A Targeted Privacy-Preserving Data Publishing Method Based on Bayesian Network
IEEE Access, 2022 Privacy-preserving data publishing (PPDP) is an essential prerequisite for data-driven AI technologies, (such as data mining, machine learning, deep learning, etc.) to extract knowledge from data safely and legally.
Zhigang Zhou +3 more
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A Fine-grained Extraction Method of Chapter Structure of Documents Based on PDF Layout Features [PDF]
Nongye tushu qingbao xuebao, 2021 [Purpose/Significance] This paper proposes a fine-grained automatic extraction method for document structure based on PDF layout features, in order to realize fine-grained organization of literature resources and meet the increasingly growing needs of ...
ZHAO Wanjing, LIU Minjuan, LIU Hongbing, WANG Xin, DUAN Feihu
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DomArchive: a century of published dominance data [PDF]
Philosophical Transactions of the Royal Society B, 2022 Abstract Dominance behaviours have been collected for many groups of animals since 1922 and serve as a foundation for research on social behaviour and social structure. Despite a wealth of data from the last century of research on dominance hierarchies, these data are only rarely used for comparative insight.
Eli D. Strauss +5 more
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Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing
IEEE Access, 2022 Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector, such as better quality of treatment, enhanced communication, remote monitoring, and reduced cost.
J. Andrew Onesimu +4 more
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