Lecture Notes || SNS Courseware

Subject Details

Dept : IT

Sem : 5

Regul : 2019

Faculty : Ms Padmapriya R

phone : NIL

E-mail : padmapirya.r.it@snsct.org

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Lecture Notes

UNIT 1:

Knowledge discovery process

Introduction to data mining systems

Data mining techniques

Data pre-processing-cleaning integration reduction

Data object and attribute type

Transformation and discretization

Data visualization

Introduction to data mining systems

UNIT 2:

Data warehousing and architecture

Data warehouse models

Enterprise warehouse

Datacube

Schemas for multidimentional data models

UNIT 3:

Market basket analysis

Apriori algorithm

Association analysis to correlation analysis

A pattern growth approach

Supermarket dataset

UNIT 4:

Decision tree induction

Rule based classification

Classification by back propogation

Support vector machines

UNIT 5:

Basic issues in clustering

Clustering techniques

DBSCAN

Density based clustering

Basic issues in clustering

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