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.

2024FALLMETCS688A1, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM CAS 201

2024FALLMETCS688A2, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM MCS B31

2024FALLMETCS688A3, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM CAS 116

2024FALLMETCS688O1, Sep 3rd to Oct 21st 2024

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

Format & Syllabus: