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» Scaling up text classification for large file systems
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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 4 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
AAAI
1996
13 years 5 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
CCGRID
2008
IEEE
13 years 5 months ago
AMP: An Affinity-Based Metadata Prefetching Scheme in Large-Scale Distributed Storage Systems
Prefetching is an effective technique for improving file access performance, which can reduce access latency for I/O systems. In distributed storage system, prefetching for metadat...
Lin Lin, Xueming Li, Hong Jiang, Yifeng Zhu, Lei T...
FAST
2009
13 years 1 months ago
Spyglass: Fast, Scalable Metadata Search for Large-Scale Storage Systems
The scale of today's storage systems has made it increasingly difficult to find and manage files. To address this, we have developed Spyglass, a file metadata search system t...
Andrew W. Leung, Minglong Shao, Timothy Bisson, Sh...
OSDI
2008
ACM
14 years 3 months ago
Mining Console Logs for Large-Scale System Problem Detection
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
Wei Xu, Ling Huang, Armando Fox, David A. Patterso...