Lecture Notes || SNS Courseware

Subject Details

Dept : IT

Sem : 4

Regul : 2023

Faculty : Prof.T. R. lekhaa

phone : NIL

E-mail : lekhaa86@gmail.com

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Lecture Notes

UNIT 1:

Building a Data warehouse

Data Warehouse Architecture

DBMS Schemas for Decision Support

Metadata

Data Extraction, Cleanup, and Transformation Tools

reporting – Query tools and Applications

OLAP and Multidimensional Data Analysis

Data warehousing Components

Online Analytical Processing (OLAP)

UNIT 2:

Data Mining Functionalities

Data Preprocessing

Architecture Of A Typical Data Mining Systems

- Classification Of Data Mining Systems.

Association Rule Mining: - Efficient and Scalable Frequent Item set Mining Methods

UNIT 3:

Prediction

Classification and Prediction

Bayesian Classification

UNIT 4:

Types of Data in Cluster Analysis – A Categorization of Major Clustering Methods

Partitioning Methods

Hierarchical methods

UNIT 5:

Spatial Data Mining

Multimedia Data Mining

Mining the World Wide Web.

Lecture Notes