: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Research was conducted in the area of sustainable knowledge extraction from e-business systems and technologies. Differentiating approaches from three notable authors in the field...
With the growth in digital libraries and standardization of protocols for metadata sharing, it is becoming feasible to build federated discovery services which aggregate metadata ...
Kailash Bhoopalam, Kurt Maly, Mohammad Zubair, Rav...
Despite evidence that the majority of knowledge management (KM) initiatives miscarry, there has been a paucity of critical, in-depth research into the causes of failure. In this p...