IS 577 AO - Data Mining

Campus: Urbana-Champaign

Description:

Data mining refers to the process of exploring large datasets with the goal of uncovering interesting patterns. This process usually involves a number of tasks such as data collection, pre-processing, & characterization; model fitting, selection, & evaluation; classification, clustering, & prediction. Although data mining has its roots in database management, it has grown into a discipline that focuses on algorithm design (to ensure computational feasibility) & statistical modeling (to separate the signal from the noise). It draws heavily upon a variety of other disciplines including statistics, machine learning, operations research, & information retrieval. Will cover the major data mining concepts, principles, & techniques that every information scientist should know about. Lectures will introduce & discuss the major approaches to data mining; computer lab sessions coupled w/assignments will provide hands-on experience with these approaches; term projects offer the opportunity to use

Special Instructions:

For approval to take this course, go to: https://go.ischool.illinois.edu/IS577_Approval All other graduate student questions may be sent to ischool-advising@illinois.edu

Academic Program Restrictions:

PHD: Informatics - UIUC

Option 1

Course Level: Graduate

Credit: 4

Term(s): Fall , Spring