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» A new approach to data driven clustering
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BTW
2011
Springer
218views Database» more  BTW 2011»
13 years 1 months ago
Tracking Hot-k Items over Web 2.0 Streams
Abstract: The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web...
Parisa Haghani, Sebastian Michel, Karl Aberer
DMIN
2009
222views Data Mining» more  DMIN 2009»
13 years 7 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
IPPS
2005
IEEE
14 years 3 months ago
A Dependency Chain Clustered Microarchitecture
In this paper we explore a new clustering approach for reducing the complexity of wide issue in-order processors based on EPIC architectures. Complexity effectiveness is achieved ...
Satish Narayanasamy, Hong Wang 0003, Perry H. Wang...
TKDE
2011
332views more  TKDE 2011»
13 years 5 months ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose
SIGMOD
2007
ACM
159views Database» more  SIGMOD 2007»
14 years 10 months ago
Boosting topic-based publish-subscribe systems with dynamic clustering
We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to thos...
Tova Milo, Tal Zur, Elad Verbin