CE 308 – Data mining
CE 308 – Data mining; Weekly hours: 2+0, ECTS: 4
The aim of the course is to introduce some basic concepts, tasks, methods, and techniques in data mining. During this course students will learn about various data mining problems and their solutions. They will develop an understanding of the data mining process and issues, learn various techniques for data mining, and apply the techniques in solving data mining problems using data mining tools and systems. Data preprocessing; Data classification; Decision trees; Bayesian; Back-propagation; Rule-based classification; k-nearest neighbors; Ensemble and evaluating; Clustering; Partitioning; Hierarchical clustering; Density based methods; Cluster evaluation; Association rule mining; A priori and FP-growth.