Dr. Fuad M. Alkoot

Title : Machine learning techniques used for classification of information in large dimension data

Abstract

Big data has become available due to the large number of applications that generate them with minimum effort. However, this has resulted in new challenges such as limited storage capacity and difficulty in processing large amounts of scattered data. Additionally mathematical properties of these data are not clear. This limits the ability of mathematical parametric models to deal with big data while the advantage of nonparametric and empirically designed models becomes more evident. We discuss common machine learning techniques typically used in classification applications in addition to fusion strategies used to enhance the performance of classifier systems. Additionally, we discus feature selection techniques used to reduce the large dimensionality of data with an example of an application in the medical area

speakers2

Dr. Fuad M. Alkoot

Cyberfusion Center for Technological Consultations HITN, PAAET

Biography

Fuad M. Alkoot has obtained his PhD in Electronic Engineering from University of Surrey – CVSSP in 2001. He has obtained his MSc in Electrical Engineering from Rochester Institute of Technology, USA, in 1989 and his BSc in Electrical Engineering in 1987. He is currently a Lecturer at PAAET-HITN. His research interests include statistical pattern recognition, combiner design and fusion strategies.

UP

GET DIRECTIONS

Fill the form below to get directions to our event location

Enter Direction from and Travel Mode from the left form to see directions.
Kuwait
Phone: +965 2246 2212
Fax: +965 2246 2214
Saudi Arabia
Phone: +966 114 656 040
Fax: +966 114 656 080
Egypt
Phone: +2 02 333 57 889
fax: +2 02 33 35 7989
SEND US A MESSAGE

If you have any questions about the event, please contact us directly. We will respond for sure.






JOIN THE CONFERENCE

back to top