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» Phenomenal Data Mining: From Data to Phenomena
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OSDI
2008
ACM
15 years 9 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
213
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CIKM
2008
Springer
15 years 8 months ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
BMCBI
2010
144views more  BMCBI 2010»
15 years 7 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
DATAMINE
2008
137views more  DATAMINE 2008»
15 years 6 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
SEMWEB
2004
Springer
16 years 4 days ago
Contexts for the Semantic Web
A central theme of the semantic web is that programs should be able to easily aggregate data from different sources. Unfortunately, even if two sites provide their data using the ...
Ramanathan V. Guha, Rob McCool, Richard Fikes