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Information privacy research: an interdisciplinary review
To date, many important threads of information privacy research have developed, but these
threads have not been woven together into a cohesive fabric. This paper provides an …
threads have not been woven together into a cohesive fabric. This paper provides an …
Identifying disgruntled employee systems fraud risk through text mining: A simple solution for a multi-billion dollar problem
C Holton - Decision support systems, 2009 - Elsevier
Occupational fraud is a $652 billion problem to which disgruntled employees are a major
contributor. Much security research addresses reducing fraud opportunity and increasing …
contributor. Much security research addresses reducing fraud opportunity and increasing …
[KNYGA][B] A Guide to Data Privacy
V Torra - 2022 - Springer
Data privacy is now a hot topic. Big data have increased its importance. Nevertheless,
computational methods for data privacy have been studied and developed since the 70s, at …
computational methods for data privacy have been studied and developed since the 70s, at …
Privacy preservation in social networks with sensitive edge weights
With the development of emerging social networks, such as Facebook and MySpace,
security and privacy threats arising from social network analysis bring a risk of disclosure of …
security and privacy threats arising from social network analysis bring a risk of disclosure of …
[PDF][PDF] Privacy preserving in social networks against sensitive edge disclosure
With the development of emerging social networks, such as Facebook and MySpace,
security and privacy threats arising from social network analysis bring a risk of disclosure of …
security and privacy threats arising from social network analysis bring a risk of disclosure of …
A survey of consumer information privacy from the accounting information systems perspective
RJ Kauffman, YJ Lee, M Prosch… - Journal of Information …, 2011 - publications.aaahq.org
The information privacy of consumers is an important public policy issue in today's society,
and one that businesses, industries, and governments are continuing to struggle with as …
and one that businesses, industries, and governments are continuing to struggle with as …
Wavelet-based data perturbation for simultaneous privacy-preserving and statistics-preserving
With the rapid development of data mining technologies, preserving privacy in certain data
becomes a challenge to data mining applications in many fields, especially in medical …
becomes a challenge to data mining applications in many fields, especially in medical …
[PDF][PDF] Wavelet-based data distortion for privacy-preserving collaborative analysis
With the rapid development of modern data collection and data warehouse technologies,
data mining is becoming more and more a standard practice. Accompanying this trend …
data mining is becoming more and more a standard practice. Accompanying this trend …
A privacy preserved data mining framework for customer relationship management
S Xu, M Qiu - Journal of Relationship Marketing, 2008 - Taylor & Francis
Collecting customer information and analyzing the information using data mining techniques
are the primary processes of customer relationship management. One of the important …
are the primary processes of customer relationship management. One of the important …
Providing group anonymity using wavelet transform
Providing public access to unprotected digital data can pose a threat of unwanted disclosing
the restricted information. The problem of protecting such information can be divided into two …
the restricted information. The problem of protecting such information can be divided into two …