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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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1975-2017
0204019752017

Related topics

Related topics

11 relations
ACM Transactions on Database SystemsAlon HalevyApache HiveDatabase
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Related mentions per year

Related mentions per year

1937-2018
19401960198020002020
VLDB
Database
Dimensionality reduction
K-nearest neighbors algorithm
International Federation for Information Processing
SIGKDD

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2014
Review
2014
VLDB 2014 Ph.D. Workshop - An Overview
The VLDB 2014 PhD Workshop is an one-day event to be held in Hangzhou, China on September 1st, 2014, in conjunction with VLDB… (More)
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2011
2011
CrowdDB: Query Processing with the VLDB Crowd
Databases often give incorrect answers when data are missing or semantic understanding of the data is required. Processing such… (More)
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2006
2006
Special issue: best papers of VLDB 2005
It has become a tradition to dedicate an issue of The VLDBJournal to selected papers from the International Conference on Very… (More)
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Highly Cited
2003
Highly Cited
2003
A Framework for Clustering Evolving Data Streams
The clustering problem is a difficult problem for the data stream domain. This is because the large volumes of data arriving in a… (More)
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2000
2000
Foreword by the VLDB '98 PC Chairmen
The 24th annual VLDB Conference was held in New York City, New York August 24–27, 1998. The high quality of papers in the… (More)
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2000
2000
Panel: Future Directions of Database Research - The VLDB Broadening Strategy, Part 1
This panel introduces and explains the “future directions” and “broadening” discussions at the VLDB Endowment. Panelists are… (More)
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Highly Cited
1999
Highly Cited
1999
Similarity Search in High Dimensions via Hashing
The nearestor near-neighbor query problems arise in a large variety of database applications, usually in the context of… (More)
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Highly Cited
1998
Highly Cited
1998
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead… (More)
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Highly Cited
1998
Highly Cited
1998
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries… (More)
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1982
1982
Will the Real VLDB Conference Please Stand Up?
Most of us recently received call-for-papers flyers by the Eighth International Conference on Very Large Data Bases which is… (More)
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