Lecture Notes || SNS Courseware

Subject Details

Dept : IT

Sem : 5

Regul : 2019

Faculty : Ms.S.Rajasulochana

phone : NIL

E-mail : sulochana.s.cse@snsct.org

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Lecture Notes

UNIT 1:

Introduction to Data Mining Systems

Knowledge Discovery Process

Data Mining Techniques

Data pre-processing-Cleaning Integration Reduction

Transformation and discretization

Data similarity and dissimilarity measures

UNIT 2:

Data Warehousing and architecture

Data warehouse models

DataCube

The role of concept Hierarchies

Data warehouse models

UNIT 3:

Generatng association rules

apriori algorithm

market basket analysis

Multidimensional data model

UNIT 4:

Rule based Classification

Bayes Classification Methods

Model Evaluation and Selection

Techniques to improve Classification Accuracy

UNIT 5:

Basic issues in clustering

Partitioning methods: K-means

Lecture Notes