Data Warehousing & Mining (Cse 3-2)

Course Objectives:

 To know the basic concepts and principles of data warehousing and data

    mining

 Learn pre-processing techniques and data mining functionalities

 Learn and create multidimensional models for data warehousing

 Study and evaluate performance of Frequent Item sets and Association Rules

 Understand and Compare different types of classification and clustering

    algorithms

Course Outcomes:

 Understand the basic concepts of data warehouse and data Mining

 Apply pre-processing techniques for data cleansing

 Analyze and evaluate performance of algorithms for Association Rules

 Analyze Classification and Clustering algorithms

Study Material's For Data Warehousing & Mining

Lecture Notes(Complete): Download
2 Marks for all Units: Download
Data Mining Concepts & Techniques(Textbook): Download
Solution Manual for DM(Q &  A): Download 

Unit Wise:
Data Preprocessing: Download

Unit-1: 
Introduction to Data Mining & Techniques in Data Preprocessing: Download

Unit-2:
Data Warehouse and OLAP Technology for Data Mining: Download

Unit-3:
Mining Frequent Patterns, Associations and Correlations: Download

Unit-4:
Classification and Prediction: Download

Unit-5:
Cluster Analysis: Download

Some Other Topics

• Mining Streams, Time series and Sequence data: Download
• Mining Advanced Databases: Download
• Data Mining Applications and Trends: Download