Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Thilina Ranbaduge"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 12, Iss 1 (2022)
Record linkage is the process of identifying records that corresponds to the same real-world entities across different databases. Due to the absence of unique entity identifiers, record linkage is often based on quasi-identifying values of entities (
Externí odkaz:
https://doaj.org/article/8a692a74058142bb8d259b42b60645ca
Publikováno v:
International Journal of Population Data Science, Vol 6, Iss 2 (2021)
Springer, November 2020 ISBN-10: 3030597059, ISBN‑13: 978-3030597054, Price: £87.50 Key message from the preface A key message of this book is that any database that contains sensitive information about individuals in plaintext can be vulner
Externí odkaz:
https://doaj.org/article/dccd9795e330459cba572b0255812501
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction The linking of sensitive databases containing personal identifying information across organisations is an increasingly important task in application domains ranging from health and social science research to national censuses. Various te
Externí odkaz:
https://doaj.org/article/6b82ebd00160482b85ac9b7ae6d3e2f1
Autor:
Thilina Ranbaduge, Peter Christen
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction Applications in domains ranging from healthcare to national security increasingly require records about individuals in sensitive databases to be linked in privacy-preserving ways. Missing values make the linkage process challenging becau
Externí odkaz:
https://doaj.org/article/34481e2fbabe47f686c077eec1e3d166
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 1 (2020)
Introduction Over the last decade, the demand for linking records about people across databases has increased in various domains. Privacy challenges associated with linking sensitive information led to the development of privacy-preserving record
Externí odkaz:
https://doaj.org/article/c6229564650e4083910749de3d839aff
Autor:
Matthew Manning, Gabriel T. W. Wong, Timothy Graham, Thilina Ranbaduge, Peter Christen, Kerry Taylor, Richard Wortley, Toni Makkai, Pierre Skorich
Publikováno v:
Crime Science, Vol 7, Iss 1, Pp 1-13 (2018)
Abstract Background The Manning Cost–Benefit Tool (MCBT) was developed to assist criminal justice policymakers, policing organisations and crime prevention practitioners to assess the benefits of different interventions for reducing crime and to se
Externí odkaz:
https://doaj.org/article/8e172f3689014a1fa3e79476b257d275
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 1 (2019)
Traditionally, record linkage is concerned with linking pairs of records across data sets and the classification of such pairs into matches (assumed to refer to the same individual) and non-matches (assumed to refer to different individuals). Increas
Externí odkaz:
https://doaj.org/article/d02a4a3f63cd48eebc0425262059d41f
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Due to privacy concerns personal identifiers used for linking data often have to be encoded (masked) before being linked across organisations. Bloom filter (BF) encoding is a popular privacy technique that is now employed in real-world l
Externí odkaz:
https://doaj.org/article/d241daffdbb44de188f6e98da02a3681
DLforum – A multidisciplinary online discussion forum for data linkage researchers and practitioners
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 1 (2018)
Data linkage, the process of identifying records that refer to the same entities across databases, is a crucial component of Population Data Science. Data linkage has a history going back over fifty years with many different methods and techniques be
Externí odkaz:
https://doaj.org/article/c04ea089ed444062885c690200773c0a
Publikováno v:
International Journal of Population Data Science, Vol 1, Iss 1 (2017)
ABSTRACT Objective The linking of multiple (three or more) health databases is challenging because of the increasing sizes of databases, the number of parties among which they are to be linked, and privacy concerns related to the use of personal d
Externí odkaz:
https://doaj.org/article/8358b02c512f4578b75a7110c6d2308f