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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
CHI
2003
ACM
16 years 4 months ago
The digital set-top box as a virtual channel provider
This research is based on the realization that the desktop computing paradigm is not appropriate for television, because it is adapted to fundamentally different user aspirations ...
Konstantinos Chorianopoulos
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
16 years 4 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
SIGMOD
2003
ACM
175views Database» more  SIGMOD 2003»
16 years 4 months ago
WinMagic : Subquery Elimination Using Window Aggregation
Database queries often take the form of correlated SQL queries. Correlation refers to the use of values from the outer query block to compute the inner subquery. This is a conveni...
Calisto Zuzarte, Hamid Pirahesh, Wenbin Ma, Qi Che...
ACMICEC
2004
ACM
171views ECommerce» more  ACMICEC 2004»
15 years 9 months ago
Efficient integration of web services with distributed data flow and active mediation
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold