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...
Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve sci...
J. Steven Hughes, Daniel J. Crichton, Chris Mattma...
It is hard to manage the software design documents within a distributed development team. The issues include the format, distribution and evolution of data. This paper mainly focu...
Sharing structured data today requires agreeing on a standard schema, then mapping and cleaning all of the data to achieve a single queriable mediated instance. However, for setti...
Todd J. Green, Grigoris Karvounarakis, Zachary G. ...
Abstract. We present a Bayesian translational model for matching patterns in data sets which have neither co-occurring samples nor variables, but only a similar experiment design d...
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, ...