Web Mining and Graph Analytics


Web Mining and Graph Analytics

MET CS 688 (4 credits)

Formerly titled CS 688 Web Analytics and Mining.
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. Laboratory Course. Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent.

2022FALLMETCS688 A1, Sep 6th to Dec 6th 2022

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM MET 122

2022FALLMETCS688 A2, Sep 8th to Dec 8th 2022

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM STH 113

2022FALLMETCS688 O1, Sep 6th to Oct 24th 2022

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SPRGMETCS688 A1, Jan 23rd to May 1st 2023

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM MET 101

2023SPRGMETCS688 A2, Jan 25th to May 3rd 2023

Days Start End Type Bldg Room
W 06:00 PM 08:45 PM EPC 209

2023SPRGMETCS688 O2, Mar 14th to May 1st 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

Format & Syllabus: