Spring 2023: Data Mining

Logistics

• Class Timings: Wednesdays 1:00 pm - 3:00 pm (5^th and 6^th slot)and Thursdays 10:45 am - 12:45 pm (3^rd and 4^th slot)
• Classroom: R33
• Lab Timings: Mondays 8:45 am - 12:45 pm (1^st - 4^thslots)
• Labs: CS Lab 5

Course Overview

• As per the Delhi University Course Guidelines

Lectures

Lecture	Topic	Lecture Slides	Readings
Unit1/Chapter1	Introduction: 1.1 - What Is Data Mining? 1.2 Challenges 1.3 Data Mining Origins 1.4 Data Mining Tasks	Introduction.pdf	Chapter 1 (R1)

Assignments and Tests

Class Assignments

• Assignment No. 1,
• Assignment No. 2,

Tests and Quizzes

• Test 1 :

Projects

• Project 1 :
• Project 2 :
• Project 3 :
• Project 4 :
• Project 5 :
• Project 6 :
• Project 7 :
• Project 8 :
• Project 9 :
• Project 10 :

Resources

Course Books:

• CB1: Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson Education.
  

References:

• R2: Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber.
  
• R3: Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003.
  
• R4: Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006.
  
• R5: Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006