Prerequisites: (COMP 251 or COMP 353) and (STAT 103 or STAT 203 or STAT 335 or ISSCM 241 or PSYC 304 or instructor permission) and (COMP 150 or COMP 170).
This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.
Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.
This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.
Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.