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» Mining Very Large Databases
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141
Voted
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 8 months ago
Architecture of Oracle Parallel Server
Oracle Parallel Server (OPS) is a shared disk RDBMS. We present a high level overview of the main architectural issues of OPS and their evolution throughout the releases of the Or...
Roger Bamford, D. Butler, Boris Klots, N. MacNaugh...
107
Voted
VLDB
1987
ACM
92views Database» more  VLDB 1987»
15 years 7 months ago
Mind Your Grammar: a New Approach to Modelling Text
Beginning to create the New Oxford English Dictionary database has resulted in the realization that databases for reference texts are unlike those for conventional enterprises. Wh...
Gaston H. Gonnet, Frank Wm. Tompa
147
Voted
VLDB
2002
ACM
161views Database» more  VLDB 2002»
15 years 3 months ago
XMark: A Benchmark for XML Data Management
While standardization efforts for XML query languages have been progressing, researchers and users increasingly focus on the database technology that has to deliver on the new cha...
Albrecht Schmidt 0002, Florian Waas, Martin L. Ker...
115
Voted
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 27 days ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
141
Voted
FLAIRS
2007
15 years 6 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...