Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
A gift of fire: social, legal, and ethical issues in computing
A gift of fire: social, legal, and ethical issues in computing
Security issues for data warehousing and data mining
Proceedings of the tenth annual IFIP TC11/WG11.3 international conference on Database security: volume X : status and prospects: status and prospects
The innovator's dilemma: when new technologies cause great firms to fail
The innovator's dilemma: when new technologies cause great firms to fail
Solution to a philosophical problem concerning data mining
ACM SIGCAS Computers and Society
Exploratory medical knowledge discovery: experiences and issues
ACM SIGKDD Explorations Newsletter
Detecting privacy and ethical sensitivity in data mining results
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Mining for data and personal privacy: reflections on an impasse
WISICT '05 Proceedings of the 4th international symposium on Information and communication technologies
The motivation and proposition of a privacy-enhancing architecture for operational databases
ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
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Knowledge Discovery and Data Mining are powerful automated data analysis tools and they are predicted to become the most frequently used analytical tools in the near future. The rapid dissemination of these technologies calls for an urgent examination of their social impact. This paper identifies social issues arising from Knowledge Discovery (KD) and Data Mining (DM). An overview of these technologies is presented, followed by a detailed discussion of each issue. The paper's intention is to primarily illustrate the cultural context of each issue and, secondly, to describe the impact of KD and DM in each case. Existing solutions specific to each issue are identified and examined for feasibility and effectiveness, and a solution that provides a suitably contextually sensitive means for gathering and analysing sensitive data is proposed and briefly outlined. The paper concludes with a discussion of topics for further consideration.