Software systems in health care, such as disease and medical-record management, or financial applications, such as customer relationship and portfolio management, have very often...
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
The amount and variety of information available today in digital form continue to increase at a rapid rate. To keep pace with these trends, knowledge workers must be empowered wit...
Finding effectively relevant information is becoming challenging task. In this paper, we propose a smart information filtering system SIM-Filter that integrates user’s identity ...
Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...