Courses

Insightful AG and Seminar for Statistics of ETH Zürich present:

Statistical Data Mining by PROF. BRIAN D. RIPLEY

Zuerich April 3/4, 2003

Data Mining has become popular in science, engineering and in traditionally data-rich industries such as banking, insurance and market research. There are emerging applications in official, environmental and medical statistics. Data Mining, also known as 'knowledge discovery in databases', is one of many terms for finding structure in large-scale datasets on the boundaries of statistics, engineering, machine learning and computer science.

Course Outline

• Overview of Data Mining
• Neural Networks
• Feed-forward neural networks in S-PLUS
• Classification Trees
• K-Nearest Neighbour Methods
• Design of Methodological Studies