This module provides an overview of basic concepts in data mining and main methodologies and approaches used for knowledge discovery from data. Topics include the definition of data mining field; data mining process; data preprocessing; predictive and descriptive data mining; evaluation of data mining models; and privacy and security of data. The?module?uses?case studies?from healthcare?applications.
Learning Objectives
During the course we will try to answer some of the following questions emphasizing the techniques and methodologies developed to support research, development, and applications in this new field. What is data mining? Why data mining: motivation and benefits? What kind of data to mine? When to mine the data? How to organize the mining process? What are challenges in data mining?
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):