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» Improving Access to Large Volumes of Online Data
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IPPS
2002
IEEE
15 years 6 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
ICML
1994
IEEE
15 years 5 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
ISSTA
2010
ACM
15 years 5 months ago
Strict control dependence and its effect on dynamic information flow analyses
Program control dependence has substantial impact on applications such as dynamic information flow tracking and data lineage tracing (a technique tracking the set of inputs that ...
Tao Bao, Yunhui Zheng, Zhiqiang Lin, Xiangyu Zhang...
SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
14 years 4 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
TPDS
2002
136views more  TPDS 2002»
15 years 1 months ago
Automatic Partitioning of Parallel Loops with Parallelepiped-Shaped Tiles
In this paper, an efficient algorithm to implement loop partitioning is introduced and evaluated. We start from results of Agarwal et al. [1] whose aim is to minimize the number of...
Fabrice Rastello, Yves Robert