ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
COMPUTE
2010
ACM
13 years 8 months ago
2010
ACM
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...
SARA
2007
Springer
13 years 10 months ago
2007
Springer
Though there exist some rules of thumb for design of good models for solving constraint satisfaction problems, the modeling process still belongs more to art than to science. Moreo...
CP
2007
Springer
13 years 10 months ago
2007
Springer
While many real-world combinatorial problems can be advantageously modeled and solved using Constraint Programming, scalability remains a major issue in practice. Constraint models...
SARA
2009
Springer
13 years 11 months ago
2009
Springer
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...