Web Mining and Graph Analytics


Web Mining and Graph Analytics

MET CS 688 (4 credits)

Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent. - The Web Mining and Graph Analytics course covers the areas of web mining, machine learning fundamentals, text mining, clustering, and graph analytics. This includes learning fundamentals of machine learning algorithms, how to evaluate algorithm performance, feature engineering, content extraction, sentiment analysis, distance metrics, fundamentals of clustering algorithms, how to evaluate clustering performance, and fundamentals of graph analysis algorithms, link analysis and community detection based on graphs. Laboratory Course.

2026SPRGMETCS688A1, Jan 20th to Apr 30th 2026

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM FLR 123

2026SPRGMETCS688O2, Mar 10th to Apr 27th 2026

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

Format & Syllabus: