IDO-IRDM

Objectives :

Understand the theoretical foundations of artificial intelligence and see its impact on modeling and on the search for knowledge when making decisions. 

Content : 

1. Introduction to information retrieval and data mining.

2. Data structures.

3. Information retrieval: models: Boolean model, Vector model.

4. Data mining: Process "CRISP-DM", Data-warehouse, Data mining techniques, Decision Tree....

Resources: 

1. Latex editor (Kile)

Books:

1. An introduction to information retrieval (PDF).

2. Data mining concept and technique (PDF).

TextBook for the first part "Information retrieval"

• link (pdf)
  
  

Sub Group 01 

• A LOUMI Mohammed, GUERRA  Manar, YAHI Fedwa

• B RADJA Imane, CHAMI Wiam, GUERSSAS Tayeb

• C BOUGOUTAYA Chaima, KHELIFI Takwa

• D BOUZIDI Mouna, MAZOUZ Maram, ATTLAOUI Noureddine

• E MECHIKI Abdelouahab, BOUBAAYA Aziz, KHODJA Belkacem

Sub Group 02

• F ABDELLAOUI Nessrine, BOUZIDI Cheima

• G SALHI Chaima, AIMEUR Ledmya, OUCIF Amira

• H SAAD Zayd, BAGHDADI Younes, DJAALAB Chaban

• I MENASRI Bouthayna, LEBCIR Kheira

• J , 

• K BOUZID Fatiha
  
  

Chapter 01 : Introduction to information retrieval and data mining.

• Slides (01)

Chapter 02 : Information retrieval

• Slides (02, 02 Extension, 03, 04, 05, 06, 07, 08)

• Assignments  (TD 01, TP 01, TP01 Report uploader    deadline:    03/11/2024 )

• Assignments (TP 02,  TP02 Report uploader  deadline: 10/12/2024)

• Assignments (TP 03,  TP03 Report uploader  deadline: 10/12/2024)

 Chapter 03 : Data mining

• Slides (09, 10, 11, 12)

• Assignments (TP 04,  TP04 Report uploader  deadline: 06/01/2025)

Exam's of last years

• 2017-2018 (exam, correction)

• 2018-2019 (exam, correction)

• 2019-2020 (exam, correction)

• 2020-2021 (exam, correction)

• 2021-2022 (exam, correction)

• 2022-2023 (exam, correction)

• 2023-2024 (exam, correction)

• 2024-2025 (notes)