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SKG
2006
IEEE
15 years 7 months ago
Abox Inference for Large Scale OWL-Lite Data
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
Xiaofeng Wang, Jianbo Ou, Xiaofeng Meng, Yan Chen
SIGCOMM
2010
ACM
15 years 1 months ago
Detecting the performance impact of upgrades in large operational networks
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 1 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
HIKM
2006
ACM
15 years 7 months ago
Automatic document indexing in large medical collections
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
Angelos Hliaoutakis, Kalliopi Zervanou, Euripides ...
EUROPAR
2009
Springer
15 years 4 months ago
Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach
Whereas traditional Desktop Grids rely on centralized servers for data management, some recent progress has been made to enable distributed, large input data, using to peer-to-peer...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé