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» Practical Preference Relations for Large Data Sets
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HPDC
2008
IEEE
15 years 6 months ago
File grouping for scientific data management: lessons from experimenting with real traces
Abstract-The analysis of data usage in a large set of real traces from a high-energy physics collaboration revealed the existence of an emergent grouping of files that we coined &q...
Shyamala Doraimani, Adriana Iamnitchi
FTTCS
2006
132views more  FTTCS 2006»
15 years 6 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
TMA
2012
Springer
254views Management» more  TMA 2012»
14 years 1 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
LREC
2010
152views Education» more  LREC 2010»
15 years 7 months ago
A Software Toolkit for Viewing Annotated Multimodal Data Interactively over the Web
This paper describes a software toolkit for the interactive display and analysis of automatically extracted or manually derived annotation features of visual and audio data. It ha...
Nick Campbell, Akiko Tabata
DEBU
2010
128views more  DEBU 2010»
15 years 3 months ago
Panda: A System for Provenance and Data
Panda (for Provenance and Data) is a new project whose goal is to develop a general-purpose system that unifies concepts from existing provenance systems and overcomes some limita...
Robert Ikeda, Jennifer Widom