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KDD
1997
ACM
92views Data Mining» more  KDD 1997»
15 years 10 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost
EDBTW
2006
Springer
15 years 10 months ago
An Integrated Platform for Analyzing Molecular-Biological Data Within Clinical Studies
To investigate molecular-biological causes and effects of diseases and their therapies it becomes increasingly important to combine data from clinical trials with high volumes of e...
Toralf Kirsten, Jörg Lange, Erhard Rahm
ICDCS
2012
IEEE
13 years 9 months ago
eTransform: Transforming Enterprise Data Centers by Automated Consolidation
Abstract—Modern day enterprises have a large IT infrastructure comprising thousands of applications running on servers housed in tens of data centers geographically spread out. T...
Rahul Singh, Prashant J. Shenoy, K. K. Ramakrishna...
SIGSOFT
2009
ACM
16 years 7 months ago
SCA: a semantic conflict analyzer for parallel changes
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Danhua Shao, Sarfraz Khurshid, Dewayne E. Perry
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
16 years 7 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande