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Module 1.2: Administrivia & Intro (Part 2) | Data Mining (2025/26 CSC 4792))

MODULE 1: INTRODUCTION TO DATA MINING AND WAREHOUSING
1.2 — Data Mining Applications, Case Studies & Pipeline
Lecture Conducted on: May 14, 2026

This session explores the ubiquity of data mining through real-world case studies and ongoing projects within the Data Lab Research Group. Students are introduced to practical applications, including mining dashcam footage for pothole detection, extracting metadata from scholarly repositories, and leveraging LMS logs to predict student performance.

00:00:00 Technical Setup & Assignment 1 (Group Formation) 📅
00:20:00 Motivating Data Mining & Corporate Applications 🚀
00:30:00 Large Language Models (LLMs) & Data Sourcing 🤖
00:41:00 Road Safety Project: Mining Dashcam Footage for Potholes 🚗
00:53:00 National ETD Portal: Mining Scholarly Output & PDFs 📄
01:25:00 Educational Data Mining: Predicting Student At-Risk Outcomes 🎓
01:46:00 Mining Diverse Data Sources: Wikipedia, X-rays & CCTV 📷
01:58:00 The Data Mining Pipeline & CRISP-DM Methodology 📊
02:04:00 Course Topics Review, Homework & Q&A 📝

➡️ Lecture 01: https://www.youtube.com/live/mUYNH79QO04
📍 Lecture 02: Data Mining Applications, Case Studies & Pipeline (You are here)
➡️ Lecture 03: [COMING SOON]

Course Resources:
👨‍🏫 Instructor: Dr. Lighton Phiri (https://datalab.unza.zm/people/lightonphiri)
💻 GitHub Repository: https://github.com/lightonphiri/misc-unza26-csc4792
🎓 Moodle Portal: https://moodle.unza.zm/course/view.php?id=624
📧 Course Mailing List: https://groups.google.com/a/unza.zm/g/csc4792
📺 Full Playlist: https://www.youtube.com/playlist?list=PLubb3AIPdPhZBEKeQdQTJrr-IAcAn7Yqb

Copyright & Licensing:
© 2026 Lighton Phiri. Department of Computing and Informatics, The University of Zambia.
This work is licensed under a Creative Commons Attribution 4.0 International Licence.
View Licence Deed: https://creativecommons.org/licenses/by/4.0/

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