This chapter emphasizes on the role played by rough set theory (RST) within the broad field
of Machine Learning (ML). As a sound data analysis and knowledge discovery paradigm …

ABSTRACT The Rough Set (RS) theory can be considered as a tool to reduce the input
dimensionality and to deal with vagueness and uncertainty in datasets. Over the years, there …

The da Vinci Research Kit (dVRK) has been installed at over 25 research institutions across
the world, forming a research community sharing a common open-source research platform …

Feature selection refers to the problem of selecting those input features that are most
predictive of a given outcome; a problem encountered in many areas such as machine …

There is a huge content of Arabic text available over online that requires an organization of
these texts. As result, here are many applications of natural languages processing (NLP) …

The world has witnessed an information explosion in the past two decades. Electronic
devices are now available in many varieties such as PCs, Laptops, book readers, mobile …

The decision making in the real world is inevitably characterized with vagueness, and
imprecision due to incomplete knowledge. To this end, we combine the information set with …

ABSTRACT A millions of the documents are available free and online. These documents
must be first organized systematically for its proper utilization to make a decision from it …

Rough sets theory has opened new trends for the development of the incomplete
information theory. Inside this one, the notion of reduct is a very significant one, but to obtain …

Due to the wide availability of huge amounts of data in electronic forms, the necessity of
turning such data into useful knowledge has increased. This is a proposal of learning from …