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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… Expand
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Highly Cited
2009
Highly Cited
2009
We propose an original outlier detection schema that detects outliers in varying subspaces of a high dimensional feature space… Expand
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Highly Cited
2008
Highly Cited
2008
Many organizations nowadays face the problem of accessing existing data sources by means of flexible mechanisms that are both… Expand
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… Expand
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Highly Cited
2003
Highly Cited
2003
A Bloom Filter is a space-efficient randomized data structure allowing membership queries over sets with certain allowable errors… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since… Expand
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Highly Cited
1998
Highly Cited
1998
From the standpoint of supporting human-centered discovery of knowledge, the present-day model of mining association rules… Expand
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Highly Cited
1994
Highly Cited
1994
Structured documents (e.g., SGML) can benefit a lot from database support and more specifically from object-oriented database… Expand
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Highly Cited
1992