Rough set theory has witnessed great success in data mining and knowledge discovery,
which provides a good support for decision making on a certain data. However, a practical …

Feature selection is an important technique for dimension reduction in machine learning and
pattern recognition communities. Feature evaluation functions play essential roles in …

Plenty of experiments and data analysis of vehicle track type in road curved section show
that the deviation and the crossing characteristics of vehicle track paths are directly related …

Boundary extraction is a fundamental post-clustering problem. It facilitates interpretability
and usability of clustering results. Also, it provides visualization and dataset reduction …

Abstract Information and knowledge are the key drivers of growth. In Indian scenario, women
farmers are responsible for 70 per cent of the actual farm work and constitute up to 60 per …

This paper discusses proportional odds model and similarity on the construction of
Traditional Chinese Medicine (TCM) chronic gastritis syndrome model. The syndromes …