Knowledge Discovery With Data Mining

ISYE-6180

Data mining is the computationally intelligent extraction of information from large databases. It is the process of automated presentation of patterns, rules, and functions from large data bases to make crucial business decisions. This course takes a multi-disciplinary approach to data mining and knowledge discovery involving statistics, rule and tree induction, neural networks, genetic algorithms, visualization and fuzzy logic. The course is project driven and puts a special emphasis on the use of computational intelligence for scientific data mining related to drug design and bioinformatics.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
2023
2022
2021
2020
Knowledge Discovery With Data Mining (3c)
  • Mark J Embrechts
Seats Taken: 5/20
2019
Knowledge Discovery With Data Mining (3c)
  • Mark J Embrechts
Seats Taken: 17/20
2018
Knowledge Discovery With Data Mining (3c)
  • Mark J Embrechts
Seats Taken: 0/20
2017
2016
2015
Knowledge Discovery With Data Mining (3c)
  • Mark J Embrechts
Seats Taken: 4/30
2014
Knowledge Discovery With Data Mining (3c)
  • Mark J Embrechts
Seats Taken: 19/30
2013
Knowldge Discovry W/datamining (3c)
  • Mark J Embrechts
Seats Taken: 5/20
2012
Knowldge Discovry W/datamining (3c)
  • Mark J Embrechts
Seats Taken: 16/30
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998