Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
For large global enterprises, providing adequate resources for organizational acculturation, the process in which employees learn about an organization’s culture, remains a chal...
Jennifer Thom-Santelli, David R. Millen, Darren Ge...
This paper reports experiences from an experiment in a software architecture course where the focus was both on giving students valuable education as well as getting important emp...
Alf Inge Wang, Erik Arisholm, Maria Letizia Jacche...
The problem of label ranking has recently been introduced as an extension of conventional classification in the field of machine learning. In this paper, we argue that label ran...