73 search results - page 3 / 15 » Towards a Quality Model for Effective Data Selection in Coll... |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
JMLR
2010
13 years 2 days ago
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
ICWS
2010
IEEE
13 years 6 months ago
2010
IEEE
Several activities in service oriented computing can benefit from the knowledge of properties of a given service composition ahead of time. We will focus here on properties related...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
HICSS
2010
IEEE
14 years 4 days ago
2010
IEEE
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...