Lecture Notes || SNS Courseware

Subject Details

Dept : CS-DA

Sem : 3

Regul : 2022-2025

Faculty : Ms Sangeetha k

phone : NIL

E-mail : sangeetha3mca@gmail.com

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Lecture Notes

UNIT 1:

Introductory Background

Big Data Architectures

Small Data -What is Data?

A Short Taxonomy of Data Analytics

Examples of Data Use

A Project on Data Analytics

Two Ordinal Attributes.

UNIT 2:

Descriptive Multivariate Analysis - Multivariate Frequencies

Multivariate Data Visualization

Infographics and Word Clouds

Data Quality and Preprocessing

Data Quality

Converting to a Diﬀerent Scale Type

Data Transformation

UNIT 3:

Clustering- Distance Measures

Clustering Validation

Clustering Techniques

K-means

DBSCAN

Agglomerative Hierarchical Clustering Technique

Frequent Pattern Mining

Association Rules

Behind Support and Conﬁdence

Other Types of Pattern.

FP-Growth

UNIT 4:

Regression - Predictive Performance Estimation

Finding the Parameters of the Model

Linear Regression

The Bias-variance Trade-oﬀ-Shrinkage Methods

Methods that use Linear Combinations of Attributes

Classiﬁcation - Binary Classiﬁcation

Predictive Performance Measures for Classiﬁcation

Distance-based Learning Algorithms

Probabilistic Classiﬁcation Algorithms

UNIT 5:

Additional Predictive Methods-Search-based Algorithms

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