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» Practical Preference Relations for Large Data Sets
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KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 6 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
VLDB
2007
ACM
187views Database» more  VLDB 2007»
16 years 6 months ago
Secure Data Outsourcing
The networked and increasingly ubiquitous nature of today's data management services mandates assurances to detect and deter malicious or faulty behavior. This is particularly...
Radu Sion
ICDE
2008
IEEE
123views Database» more  ICDE 2008»
16 years 7 months ago
Handling Non-linear Polynomial Queries over Dynamic Data
Applications that monitor functions over rapidly and unpredictably changing data, express their needs as continuous queries. Our focus is on a rich class of queries, expressed as p...
Shetal Shah, Krithi Ramamritham
ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
15 years 11 months ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolutionary computation and the c-value paradox
The C-value Paradox is the name given in biology to the wide variance in and often very large amount of DNA in eukaryotic genomes and the poor correlation between DNA length and p...
Sean Luke