CSE-435 Data Mining Lab


E-mail: atik@cse.green.edu.bd

🕾 Mob. +8801912961096

:office: Room: A-510 Desk No. : 08

Class Routine – Fall 2025 Semester

Day 08:30-10:00 10:00-11:30 11:30-1:00 Break 01:30-03:00 03:00-04:30 06:00-07:30 07:30-09:00
Sat CSE-435 221_D6
J-105		 CSE-435 221_D2
K-104		 CSE-436 221_D6
A-501		   CSE-436 221_D16
A-503		      
Sun     TUTOR TIME   TUTOR TIME     Thesis/Project Meeting
Online
Mon     TUTOR TIME   CSE-104 250_D6
A-502		 CSE-104 250_D6
A-502		 CSE-435 221_D6
Online		 CSE-435 221_D2
Online
Tue CSE-436 222_D1
J-103		   TUTOR TIME   TUTOR TIME     PSD-400 221_D2
Online
Wed                

Note: Thursday and Friday Weekend



Lab Activity Outline

Class Experiment Title COs Reference Activities
1 Data Preprocessing techniques in Data Mining 1 Lab Manual 1 Experiments
2 Feature Engineering techniques in Data Mining 1 Lab Manual 2 Experiments
3 Statistical Analysis and Exploratory Data Analysis using visualization techniques 1 Lab Manual 3 Experiments
4 Implementation of PCA for dimensionality reduction and t-SNE for visualization 1 Lab Manual 4 Experiments
5 Implementation of Apriori algorithm for frequent itemset mining 1 Lab Manual 5 Experiments
6 Implementation Frequent Pattern Growth (FP-Growth) Algorithm using Python 2 Lab Manual 6 Experiments
7 Machine Learning Classification: Decision Trees, SVM Implementation using Python 3 Lab Manual 7 Experiments
8 Clustering: Implementation of Hierarchical Clustering Using Python 3 Lab Manual 8 Experiments
9 Clustering: Implementation of DBSCAN Clustering Algorithm Using Python 3 Lab Manual 9 Experiments
10 Ensemble Learning: Bagging and Stacking with real-world datasets 2 Lab Manual 10 Experiments
11 Boosting Techniques: AdaBoost and Gradient Boosting implementation 2 Lab Manual 11 Experiments
12 Anomaly Detection using Isolation Forest or Z-score 2 Lab Manual 12 Experiments
13 Project Presentation and Viva 1, 2, 3   Presentation, Viva
14 Lab Final Examination 1, 2, 3   Examination