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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 8 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 6 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
BMCBI
2008
104views more  BMCBI 2008»
13 years 5 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
CASES
2008
ACM
13 years 7 months ago
Control flow optimization in loops using interval analysis
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis, Alex Nicolau
ICDE
2009
IEEE
125views Database» more  ICDE 2009»
13 years 3 months ago
Metric Functional Dependencies
When merging data from various sources, it is often the case that small variations in data format and interpretation cause traditional functional dependencies (FDs) to be violated,...
Nick Koudas, Avishek Saha, Divesh Srivastava, Sure...