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» Troubleshooting Distributed Systems via Data Mining
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AINA
2009
IEEE
14 years 3 months ago
Massively Scalable Web Service Discovery
The increasing popularity of Web Services (WS) has exemplified the need for scalable and robust discovery mechanisms. Although decentralized solutions for discovering WS promise ...
George Anadiotis, Spyros Kotoulas, Holger Lausen, ...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
14 years 12 days ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 11 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
CCS
2007
ACM
14 years 3 months ago
Automaton segmentation: a new approach to preserve privacy in xml information brokering
A Distributed Information Brokering System (DIBS) is a peer-to-peer overlay network that comprises diverse data servers and brokering components helping client queries locate the ...
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hs...
MSS
1999
IEEE
140views Hardware» more  MSS 1999»
14 years 1 months ago
Pursuit of a Scalable High Performance Multi-Petabyte Database
When the BaBar experiment at the Stanford Linear Accelerator Center starts in April 1999, it will generate approximately 200TB/year of data at a rate of 10MB/sec for 10 years. A m...
Andrew Hanushevsky, Marcia Nowark