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» Estimating the Quality of Data in Relational Databases
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SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 7 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
15 years 9 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
MM
2009
ACM
260views Multimedia» more  MM 2009»
15 years 4 months ago
Web image mining towards universal age estimator
In this paper, we present an automatic web image mining system towards building a universal human age estimator based on facial information, which is applicable to all ethnic grou...
Bingbing Ni, Zheng Song, Shuicheng Yan
ICDT
2009
ACM
166views Database» more  ICDT 2009»
15 years 10 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
SIGMOD
2003
ACM
119views Database» more  SIGMOD 2003»
15 years 9 months ago
Robust and Efficient Fuzzy Match for Online Data Cleaning
To ensure high data quality, data warehouses must validate and cleanse incoming data tuples from external sources. In many situations, clean tuples must match acceptable tuples in...
Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, R...