CS 235: Data Mining Techniques

2008-09 2009-10 →
changes (lax) changes (strict) ▾ 2009-10 → 2009-10 →

Units: 4

Hours: Lecture, 3 hours; term paper, 1.5 hours; project, 1.5 hours

Catalog page 194

Prerequisites: CS 141, CS 166; CS 170 is recom- mended

Description: Provides students with a broad background in the design and use of data mining algorithms and tools. Includes clustering, classification, association rules mining, time series clustering, and Web mining. May be taken Satisfactory (S) or No Credit (NC) by students advanced to candidacy for the Ph.D.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.

Referenced in

Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2025-26  65/145  40/140 105/285
2024-25  85/145  99/140 184/285
2023-24  61/120 127/136 188/256
2022-23 112/120 98/100 210/220
2021-22  63/ 65 112/121 175/186
2020-21  43/125  37/120  80/245
2019-20 115/115  68/120 183/235
2018-19  65/ 72  40/ 70 105/142
2017-18  62/ 73  58/ 70 120/143
2016-17  44/ 60 61/ 86 105/146