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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
14 years 4 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
WEBI
2007
Springer
14 years 1 months ago
Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition
There is a critical need to design and develop tools tract away the fundamental complexity of XML-based Web services specifications and toolkits, and provide an elegant, intuitive...
Chaitali Gupta, Rajdeep Bhowmik, Michael R. Head, ...
DLS
2010
204views Languages» more  DLS 2010»
13 years 5 months ago
Alias analysis for optimization of dynamic languages
Dynamic languages such as Python allow programs to be written more easily using high-level constructs such as comprehensions for queries and using generic code. Efficient executio...
Michael Gorbovitski, Yanhong A. Liu, Scott D. Stol...
ICDE
2006
IEEE
206views Database» more  ICDE 2006»
14 years 8 months ago
Query Co-Processing on Commodity Hardware
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 2 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...