Objectives :
Understand the theoretical foundations of artificial intelligence and see its impact on modeling and on the search for knowledge when making decisions.
Content :
Introduction to information retrieval and data mining.
Data structures.
Information retrieval: models: Boolean model, Vector model.
Data mining: Process "CRISP-DM", Data-warehouse, Data mining techniques, Decision Tree....
TextBook for the first part "Information retrieval"
link (pdf)
Sub Group 01
Group 1
Sahnoun Oumaima Malek — Oussif Ibtissam
Group 2
Achouak Debbache — Hadil Belhadi
Group 3
Dernani Soumeya — Khatim Kenza Souha
Group 4
Terki Narimane — Daoud Lina
Group 5
LOUKRIZ Warda — Merniz Marwa — Mezrag Nour
Group 6
Gandouz Wafa — Azzouz Aya Errahmane — Dilmi Chaïma
Group 13
Hassani Hadda — Allam Hiba — Zerouti Wissal
Sub Group 02
Group 7
Ziani Amal — Boudayef Manar — Nachnach Hafidha
Group 8
Bourahmani Wafa — Achachi Nadia
Group 9
Tahri Ahmed El-Amine — Okba Reghioui — Zoubiri Mohamed
Group 10
Sahnoun Soundous — Heni Fatima Ezzahra — Essayed Donia
Group 11
Amour Nawal — Saadi Hadil Aya El-Houda — Mokhtari cheyma
Group 12
Laouadj Khawla — Terafi Slimane
Group 14
Salah arioua — djalab lakhdar — Baara Zakaria
Assignment 01: Mini Research Presentation
Task:
Form a group of 2–3 students and choose one topic from the list (File). You’ll prepare a short explanation or presentation to share with the class.
Guidelines:
Each group must pick a different topic.
You’ll have 10–15 minutes to explain it in class.
Include definitions, examples, and a small demo or case study if possible.
Be ready to answer questions from your classmates.
Each demonstration generated by AI will get the lowest score
Affectation of subjects:
Group 1 — Image Classification with CNNs
Group 2 — Community Detection and Overlapping Community Detection
Group 3 — Arabic Information Retrieval
Group 4 — Social Network Analysis
Group 5 — Clustering Type
Group 6 — Graph Neural Networks (GNNs) for Social and Text Data
Group 7 — NLP Processing
Group 8 — Topic Modelling: NMF, LDA, and LSA
Group 9 — Hyperlink-Induced Topic Search (HITS) Algorithm
Group 10 — Search Engines Frameworks
Group 11 — Multimedia Information Retrieval
Group 12 — Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
Group 13 — Neural Networks
Group 14 — Text Mining
Assignment 02: Boolean and Vector space models (File) must be ready and presented before (30/11/2025)
Sub Group 01 AND Sub Group 02
A tutorial session (TD) will be held instead of a practical session (TP) at 09:30 (30/11/2025) for the course Information Retrieval and Data Mining, and it will take place in room S03.
Chapter 01 : Introduction to information retrieval and data mining.
Slides (01)
Exam's of last years
2017-2018 (exam, correction)
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