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» Exploiting Temporal Statistics for Events Analysis and Under...
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154
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ISTCS
1992
Springer
15 years 6 months ago
Concurrent Timestamping Made Simple
Concurrent Time-stamp Systems (ctss) allow processes to temporally order concurrent events in an asynchronous shared memorysystem, a powerful tool for concurrency control, serving...
Rainer Gawlick, Nancy A. Lynch, Nir Shavit
134
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 21 days ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
132
Voted
KDD
2007
ACM
136views Data Mining» more  KDD 2007»
16 years 3 months ago
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
We now have incrementally-grown databases of text documents ranging back for over a decade in areas ranging from personal email, to news-articles and conference proceedings. While...
Benyah Shaparenko, Thorsten Joachims
BMCBI
2007
152views more  BMCBI 2007»
15 years 3 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
137
Voted
JSSPP
2004
Springer
15 years 8 months ago
Performance Implications of Failures in Large-Scale Cluster Scheduling
As we continue to evolve into large-scale parallel systems, many of them employing hundreds of computing engines to take on mission-critical roles, it is crucial to design those s...
Yanyong Zhang, Mark S. Squillante, Anand Sivasubra...