DIU-BLC
Data Warehouse & Data Mining (Fall-2022)
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Course data
General
Announcement 1
Week 1 and 2
Lecture Slide
Purpose Of Data Mining Techniques
Data Mining Techniques IN Detail
Week 2
Lecture 2(Data warehouse vs Database )
Quiz-1
Week 2 & 3
K Means Algorithm
Introduction Data Mining algorithm
Lecture Slide
Understanding the ETL Process in Datawarehouse
Paper on ETL Process in Datawarehouse
Introduction To Unsupervised Machine Learning
Lecture Slide
Unsupervised Machine Learning
Case Study
Apriori algorithm
Lecture Details
K-Nearest Neighbor
K-Nearest Neighbor
Data Mart
Data Mart in details
DBSCAN Clustering
DBSCAN Clustering
Introduction to Data Warehousing Testing
Complete Paper On Data Warehouse And Testing
Dimensional Data Model in Data Warehouse
Lecture Note
Schema Types in Data Warehouse Modeling
Schema Types in Data Warehouse Modeling
Metadata in Data Warehouse
Metadata in ETL
Introduction to Data Extraction Technique
Data Extraction Technique
Assesment-1
K-Means model for Predicting Car quality[Case Study]
Naive Bayes Algorithm
Details of Naive Bayes
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SE444 (EH-223)
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Course info
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Courses
DIU
Faculty of Science and Information Technology
Software Engineering
SWE Fall 2022
SE444 (EH-223)
Summary
Data Warehouse & Data Mining (Fall-2022)
Teacher:
Esraq Humayun
Skill Level
:
Beginner