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» Improving the SLA Algorithm Using Association Rules
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INFORMS
2008
62views more  INFORMS 2008»
15 years 2 months ago
Edge Finding for Cumulative Scheduling
Edge-finding algorithms for cumulative scheduling are at the core of commercial constraint-based schedulers. This paper shows that Nuijten's edge finder for cumulative schedu...
Luc Mercier, Pascal Van Hentenryck
BMCBI
2006
119views more  BMCBI 2006»
15 years 2 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 6 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
TSP
2010
14 years 9 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 2 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen