The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Decision support systems (DSS) may be enhanced qualitatively if they are able to also deal with spatial dimensions and measures. Regardless the evident importance of using data wa...
Marcus Costa Sampaio, Andre Gomes de Sousa, Cl&aac...
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...