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» Systems Support for Scalable Data Mining
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
COMPSAC
2004
IEEE
13 years 11 months ago
Spatial Data Query Support in Peer-to-Peer Systems
Recently distributed hash table (DHT) mechanisms have been proposed to manage data in very large, structured peer-to-peer (P2P) systems. DHT algorithms provide efficient exact-mat...
Roger Zimmermann, Wei-Shinn Ku, Haojun Wang
IPPS
2007
IEEE
14 years 1 months ago
Improving Scalability of OpenMP Applications on Multi-core Systems Using Large Page Support
Modern multi-core architectures have become popular because of the limitations of deep pipelines and heating and power concerns. Some of these multi-core architectures such as the...
Ranjit Noronha, Dhabaleswar K. Panda
IPPS
2006
IEEE
14 years 1 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal
CIKM
2009
Springer
14 years 9 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