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CSE 4693 creditsPrereq: Pre-Requisite: CSE 250 and ( MTH 411 or EAS 305 or STA 301 or CE 305 or EE 305 or CIE 308 ) and MTH 309 and Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor.

CSE 469: Introduction to Data Mining

6 public student ratings, updated Oct 2026 · no written reviews yet

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This course introduces fundamental techniques in data mining, i.e., the techniques that extract useful knowledge from a large amount of data. Topics include data preprocessing, exploratory data analysis, association rule mining, clustering, classification and anomaly detection. Students are expected to gain the skills to formulate data mining problems, solve the problems using data mining techniques and interpret the output.
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4.7 out of 5 stars4.7from 6 ratings
Department
Computer Science and Engineering

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Professors who have taught CSE 469

  • Jing Gao
  • Nasrin Akhter

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