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» SQL: From Traditional Databases to Big Data
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SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 1 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
GI
2001
Springer
14 years 1 months ago
Ontology-based Access to heterogeneous XML Data
: With the increase in popularity of XML on the Internet, the requirements of database management systems have shifted from traditional transaction-based databases towards the kind...
Lule Ahmedi, Pedro José Marrón, Geor...
SIGMOD
2007
ACM
170views Database» more  SIGMOD 2007»
14 years 9 months ago
Cardinality estimation using sample views with quality assurance
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Per-Åke Larson, Wolfgang Lehner, Jingren Zho...
EDBT
2009
ACM
127views Database» more  EDBT 2009»
14 years 3 months ago
Approximate substring selectivity estimation
We study the problem of estimating selectivity of approximate substring queries. Its importance in databases is ever increasing as more and more data are input by users and are in...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
SIGMOD
2010
ACM
281views Database» more  SIGMOD 2010»
14 years 1 months ago
Continuous sampling for online aggregation over multiple queries
In this paper, we propose an online aggregation system called COSMOS (Continuous Sampling for Multiple queries in an Online aggregation System), to process multiple aggregate quer...
Sai Wu, Beng Chin Ooi, Kian-Lee Tan