One of the most prominent issues involved in incremental software development is to decide upon the most appropriate software release plans taking into account all explicit and imp...
Understanding the nature of the information flowing into and out of a system or network is fundamental to determining if there is adherence to a usage policy. Traditional methods...
James P. Early, Carla E. Brodley, Catherine Rosenb...
This paper crystallises out some key findings of knowledge management practices from a Finnish survey on the insurance industry. 15 Finnish insurance companies of different sizes ...
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...