Learning Systems and Data Mining, CS4315 (3-1)

(improved version of CS3315 which is no longer offered)

A survey of methods by which software can improve its performance over time.� In other words, learn from experience.� We discuss applications to data mining and tutoring systems.

Prerequisite: CS3000 and one college-level course in programming.

Textbook: Tom Mitchell, Machine Learning, WCB/McGraw-Hill, 1997.

Course Content:

* caching and case-based learning

* decision trees

* conceptual learning based on conceptual differences

* learning in artificial neural networks

* statistics-based learning

* genetic algorithms and simulated annealing

* inferring plans from behavior

* data mining applications

* intelligent tutoring systems

Students will do short projects with software tools.

Faculty contact for information:

Neil Rowe, ncrowe@nps.navy.mil, 656-2462