Results 11 to 20 of about 4,335,424 (343)
A Method for Solving Quasi-Identifiers of Single Structured Relational Data
IEEE Access, 2021 Quasi-identifier is a set of attributes used to identify the specific entity in structured data, which can provide an inference path for query attacks.
Yi Hua +3 more
doaj +1 more source
Who knew? The misleading specificity of “double-blind” and what to do about it
Trials, 2020 Background In randomized trials, the term “double-blind” (and its derivatives, single- and triple-blind, fully blind, and partially blind or masked) has no standard or widely accepted definition.
Thomas A. Lang, Donna F. Stroup
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A linked data approach to publishing complex scientific workflows [PDF]
, 2011 Past data management practices in many fields of natural science, including climate research, have focused primarily on the final research output - the research publication - with less attention paid to the chain of intermediate data results and their ...
Callaghan, Sarah +6 more
core +1 more source
Data Science Journal, 2021 This article details a correction to the article: Task Group on Data Citation Standards and Practices, C.-I., 2013. Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data.
CODATA-ICSTI Task Group on Data Citation Standards and Practices
doaj +1 more source