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CLUSTER
2008
IEEE
14 years 1 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
VISSYM
2007
13 years 9 months ago
Dimensional Congruence for Interactive Visual Data Mining and Knowledge Discovery
Many authors in the field of 3D human computer interaction have described the advantages of 3D user interfaces: Intuitive metaphors from daily life, immersive workspaces, virtual ...
Sebastian Baumgärtner, Achim Ebert, Matthias ...
ITRUST
2004
Springer
14 years 23 days ago
E-notebook Middleware for Accountability and Reputation Based Trust in Distributed Data Sharing Communities
This paper presents the design of a new middleware which provides support for trust and accountability in distributed data sharing communities. One application is in the context of...
Paul Ruth, Dongyan Xu, Bharat K. Bhargava, Fred Re...
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 7 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
CIKM
2009
Springer
14 years 1 days ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia