Document Type
Syllabus
Description
Data mining is concerned with the extraction of novel and useful knowledge from large amounts of data. This course introduces and studies the fundamental concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, mining of spatial/text/sequence/graph/time-series etc data, privacy, data mining applications, and other topics of interest. 3 hours lecture, 2 hours lab.
Publication Date
Fall 2010
College
College of Engineering and Computer Science
Department
Computer Science
Course Number
CS 705
