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VLDB

Known as: International Conference on Very Large Data Bases 
VLDB is an annual conference held by the non-profit Very Large Data Base Endowment Inc. The mission of VLDB is to promote and exchange scholarly work… 
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Papers overview

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Highly Cited
2011
Highly Cited
2011
(A)nalysis for Log-Structure Merge Tree (LSM-tree) key-value (KV) stores. Ferragina et al. improve matrix-vector multiplication… 
Highly Cited
2011
Highly Cited
2011
Windows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of… 
Highly Cited
2005
Highly Cited
2005
  • C. Aggarwal
  • Very Large Data Bases Conference
  • 2005
  • Corpus ID: 51141
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one… 
Highly Cited
2004
Highly Cited
2004
  • Lei ChenR. Ng
  • Very Large Data Bases Conference
  • 2004
  • Corpus ID: 7475159
Highly Cited
2004
Highly Cited
2004
Data clustering is an important technique for exploratory data analysis, and has been studied for several years. It has been… 
Highly Cited
2002
Highly Cited
2002
Highly Cited
2000
Highly Cited
2000
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth… 
Highly Cited
2000
Highly Cited
2000
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since… 
Highly Cited
1998
Highly Cited
1998
From the standpoint of supporting human-centered discovery of knowledge, the present-day model of mining association rules…