Traditional classification algorithms usually provide poor accuracy on the prediction of the
minority class of imbalanced data sets. This paper proposes a new method for dealing with …

… His main research interests are in the field of machine learning, data mining and knowledge
representation. He has about 90 publications to his credit in international journals and …

… In Section 3, we then consider the case of binary data, also called set data, ie, data … the
case of numerical data, ie data represented as vectors of real numbers. For each data type, we …

Collaborative filtering is a basic technique for tackling information overloads and is composed
of task of relating a promising item to an active user. In this paper, a new approach to user-…

… soft computing and analysis of remote sensing images. He has authored and co-authored
more than 30 scientific articles in international journals … in referred international journals, more …

… He is an author of a great deal of studies published at national and international journals,
conference proceedings as well as many books. He is a member of Human Factors and …

… J. Knowledge Engineering and Soft Data Paradigms, Vol. 5, No. 2, pp.85–105. … system in
the back-end server, the raw data are transformed into POS data and RFID data in XML form. …

Intelligent computing system and knowledge-based system have been widely used in the
diagnosis and classification of ECG based diseases. Several detection methods of ECG …

… analytics, multi agent networks, artificial intelligence, machine learning, data mining and
computer networks. She has published several papers in various international journals and …

… Her research interests are knowledge management, knowledge engineering, ontologies
and semantic web. She is currently working at the Informatics University Centre of the Geneva …