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» Inferring Knowledge from a Large Semantic Network
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139
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INFOCOM
2011
IEEE
14 years 5 months ago
Continuous multi-dimensional top-k query processing in sensor networks
—Top-k query has long been an important topic in many fields of computer science. Efficient implementation of the top-k queries is the key for information searching. With the n...
Hongbo Jiang, Jie Cheng, Dan Wang, Chonggang Wang,...
113
Voted
USENIX
2007
15 years 4 months ago
Load Shedding in Network Monitoring Applications
Monitoring and mining real-time network data streams is crucial for managing and operating data networks. The information that network operators desire to extract from the network...
Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanju&...
NAR
2011
224views Computer Vision» more  NAR 2011»
14 years 4 months ago
KaPPA-View4: a metabolic pathway database for representation and analysis of correlation networks of gene co-expression and meta
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncoverin...
Nozomu Sakurai, Takeshi Ara, Yoshiyuki Ogata, Ryos...
RECOMB
2010
Springer
15 years 3 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
BMCBI
2010
149views more  BMCBI 2010»
15 years 2 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...