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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 4 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 4 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 4 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
SIGMOD
2009
ACM
191views Database» more  SIGMOD 2009»
16 years 4 months ago
Scalable skyline computation using object-based space partitioning
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
Shiming Zhang, Nikos Mamoulis, David W. Cheung
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
16 years 4 months ago
Exploiting self-monitoring sample views for cardinality estimation
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
Jingren Zhou, Per-Åke Larson, Peter Zabback,...