CSC 428 Biostatistical Data Mining
Data mining enables turning a collection of information into knowledge. A popular synonym for data mining is knowledge discovery from data, or KDD. Data mining is the key step in the process of knowledge discovery. Data mining adopts techniques from many domains, such as information retrieval, data warehousing, database systems, pattern recognition, visualization, statistics, machine learning, algorithms, high-performance computing, applications, etc.
This course is an introductory course on data mining and will cover fundamental concepts, principles, methods, practical techniques, and applications for pattern discovery and cluster analysis. Materials will be given with an emphasis on the data from healthcare or biomedical domains.
Students are expected to be familiar with programming, and applying data mining tools as well as explore a topic of choice by completing a project over the course of the semester.
Cross Listed Courses
CSC 428, CSC 528, DA 528