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» An optimization framework for map-reduce queries
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PVLDB
2010
146views more  PVLDB 2010»
13 years 16 days ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
VLDB
2007
ACM
147views Database» more  VLDB 2007»
14 years 6 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
11 years 8 months ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 8 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
HPDC
2010
IEEE
13 years 6 months ago
Cloud computing paradigms for pleasingly parallel biomedical applications
Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this area. Closely coupled applications are s...
Thilina Gunarathne, Tak-Lon Wu, Judy Qiu, Geoffrey...