Data Mining

Data Mining

Introduction to data mining techniques, familiarity with particular real-world applications, challenges involved in these applications, and future directions of the field. Optional hands-on experience with commercially available software packages.

Class Name Data Mining
Host School Syracuse University
Class Identifier IST 565
Credit Value 3 Credit Hours
Faculty Howard Turtle
Course Tool (Online) Blackboard
Class Description Introduction to data mining techniques, familiarity with particular real-world applications, challenges involved in these applications, and future directions of the field. Optional hands-on experience with commercially available software packages.
Class Disclaimer None
Delivery Asynchronous
Start and End Date January 17th, 2012 - May 1st, 2012
Start and End Time
(if synchronous)
Days of Week
(of class meetings, if synchronous)
Last Add Day January 24th, 2012
Residency Start and End Date No Residency