During the past two decades, the requirement of databases and information systems is to facilitate the handling of large amounts of information. The emergence of massive datasets. for instance, in large-scale retailing, telecommunications, astronomy, computational biology, and internet commerce, containing millions or even billions of observations and requires more complicated techniques for processing information contained in them. Such processing requires more intelligent, application-specific, and sophisticated systems to do the processing. The field of Data Mining is currently a growing field in both Computer Science and Statistics.
This year the course aims to introduce a selection of current research topics in computing science that are not covered in such depth at the BSc. level course. In particular the topics that will be introduced are Knowledge Discovery and Data Mining, Inductive Machine Learning (supervised and unsupervised), and applications like Privacy, Spatial Data Mining, WEB usage Mining and Multimedia Data Mining.
The prerequisites for the class are basic computing proficiency as well as knowledge of elementary concepts in probability and statistics. You will be required to do a project and a paper in this course, this will be elaborated on in the first meeting.
- Teacher: Rashid Jayousi