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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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Wikipedia
Topic mentions per year
Topic mentions per year
1975-2017
0
20
40
1975
2017
Related topics
Related topics
11 relations
ACM Transactions on Database Systems
Alon Halevy
Apache Hive
Database
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Related mentions per year
Related mentions per year
1937-2018
1940
1960
1980
2000
2020
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
Yunyao Li
,
Erich J. Neuhold
PVLDB
2014
The VLDB 2014 PhD Workshop is an one-day event to be held in Hangzhou, China on September 1st, 2014, in conjunction with VLDB…
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2011
2011
CrowdDB: Query Processing with the VLDB Crowd
Amber Feng
,
Michael J. Franklin
,
+5 authors
Reynold Xin
PVLDB
2011
Databases often give incorrect answers when data are missing or semantic understanding of the data is required. Processing such…
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2006
2006
Special issue: best papers of VLDB 2005
Laura M. Haas
,
Christian S. Jensen
,
Martin L. Kersten
The VLDB Journal
2006
It has become a tradition to dedicate an issue of The VLDBJournal to selected papers from the International Conference on Very…
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Highly Cited
2003
Highly Cited
2003
A Framework for Clustering Evolving Data Streams
Charu C. Aggarwal
,
Jiawei Han
,
Jianyong Wang
,
Philip S. Yu
VLDB
2003
The clustering problem is a difficult problem for the data stream domain. This is because the large volumes of data arriving in a…
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2000
2000
Foreword by the VLDB '98 PC Chairmen
Jennifer Widom
,
Oded Shmueli
The VLDB Journal
2000
The 24th annual VLDB Conference was held in New York City, New York August 24–27, 1998. The high quality of papers in the…
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2000
2000
Panel: Future Directions of Database Research - The VLDB Broadening Strategy, Part 1
Hans-Jörg Schek
VLDB
2000
This panel introduces and explains the “future directions” and “broadening” discussions at the VLDB Endowment. Panelists are…
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Highly Cited
1999
Highly Cited
1999
Similarity Search in High Dimensions via Hashing
Aristides Gionis
,
Piotr Indyk
,
Rajeev Motwani
VLDB
1999
The nearestor near-neighbor query problems arise in a large variety of database applications, usually in the context of…
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Highly Cited
1998
Highly Cited
1998
Algorithms for Mining Distance-Based Outliers in Large Datasets
Edwin M. Knorr
,
Raymond T. Ng
VLDB
1998
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead…
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Highly Cited
1998
Highly Cited
1998
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Gholamhosein Sheikholeslami
,
Surojit Chatterjee
,
Aidong Zhang
VLDB
1998
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries…
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1982
1982
Will the Real VLDB Conference Please Stand Up?
David K. Hsiao
SIGMOD Record
1982
Most of us recently received call-for-papers flyers by the Eighth International Conference on Very Large Data Bases which is…
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