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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 7 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
EDBT
2006
ACM
120views Database» more  EDBT 2006»
14 years 7 months ago
Similarity Search on Time Series Based on Threshold Queries
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
EDBT
2006
ACM
122views Database» more  EDBT 2006»
14 years 7 months ago
TQuEST: Threshold Query Execution for Large Sets of Time Series
Effective and efficient data mining in time series databases is essential in many application domains as for instance in financial analysis, medicine, meteorology, and environmenta...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
EDBT
2008
ACM
129views Database» more  EDBT 2008»
14 years 7 months ago
Design of PriServ, a privacy service for DHTs
By decentralizing control, P2P systems provide efficient, scalable data sharing. However, when sharing data for different purposes (e.g., billing, purchase, shipping, etc.), data ...
Mohamed Jawad, Patricia Serrano-Alvarado, Patrick ...
ICDCS
2009
IEEE
14 years 4 months ago
Pushing the Envelope: Extreme Network Coding on the GPU
While it is well known that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high compu...
Hassan Shojania, Baochun Li