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» Evaluating use of data flow systems for large graph analysis
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PROMISE
2010
13 years 2 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
RTAS
1996
IEEE
13 years 12 months ago
Efficient worst case timing analysis of data caching
Recent progress in worst case timing analysis of programs has made it possible to perform accurate timing analysis of pipelined execution and instruction caching, which is necessa...
Sung-Kwan Kim, Sang Lyul Min, Rhan Ha
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
BMCBI
2005
91views more  BMCBI 2005»
13 years 7 months ago
Providing visualisation support for the analysis of anatomy ontology data
Background: Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledg...
Aba-Sah Dadzie, Albert Burger
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 8 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...