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[KNYGA][B] Association rule hiding for data mining
A Gkoulalas-Divanis, VS Verykios - 2010 - books.google.com
Privacy and security risks arising from the application of different data mining techniques to
large institutional data repositories have been solely investigated by a new research …
large institutional data repositories have been solely investigated by a new research …
A survey of association rule hiding methods for privacy
Data and knowledge hiding are two research directions that investigate how the privacy of
raw data, or information, can be maintained either before or after the course of mining the …
raw data, or information, can be maintained either before or after the course of mining the …
Collaborative clustering: How to select the optimal collaborators?
The aim of collaborative clustering is to reveal the common underlying structure of data
spread across multiple data sites by applying clustering techniques. The idea of …
spread across multiple data sites by applying clustering techniques. The idea of …
Inference in distributed data clustering
In this paper we address confidentiality issues in distributed data clustering, particularly the
inference problem. We present KDEC-S algorithm for distributed data clustering, which is …
inference problem. We present KDEC-S algorithm for distributed data clustering, which is …
[PDF][PDF] Impact of learners' quality and diversity in collaborative clustering
Collaborative Clustering is a data mining task the aim of which is to use several clustering
algorithms to analyze different aspects of the same data. The aim of collaborative clustering …
algorithms to analyze different aspects of the same data. The aim of collaborative clustering …