-10%

Data Mining and Data Science

₹238.50
₹265.00
Tax excluded
1969
47 Items

Specific References

According to New Revised CBCS syllabus w.e.f. 2021-22

BCA (Science Faculty)

Semesters-V

A Text book of

Data Mining and Data Science

Author: Dr. Swati Joshi

ISBN : 978-93-90646-69-2

Quantity
In Stock

Contents

1. Introduction to Data Mining

1. Introduction

2. Definition Data Mining

3. Data Mining Issues

4. Stages of Data Mining Process (KDD)

5. Data Mining Techniques/Tasks

6. Knowledge Representation Methods

7. Data Mining Applications

8. Data Preprocessing

2. Data Warehousing

1. Introduction to Data Warehouse

2.   Data Warehouse Architecture and its Components

2.1 Data Warehouse Components

3. Data Modeling with OLAP

3.1 Differences between OLTP and OLAP

3.2 Fact Table, Dimension Table, OLAP cube

4. Schema Design

5. Introduction to Machine Learning

6. Introduction to Pattern Matching

7. Case Study Based on Schema Design

3. Classification

1. Introduction

2. Decision Tree

2.1 Construction Principle

2.2 Attribute Selection Measures

2.3 Tree Pruning

3. Rule-Based Classification

3.1 Using IF-THEN Rules for Classification

3.2 Rule Extraction from a Decision Tree

4. Bayes Classification Methods

4.1 Bayes’ Theorem

4.2 Naïve Bayesian Classification

5. Bayesian Networks

6. Parameter and Structure Learning

7. Linear Classifier

8. Perceptron

9. k-Nearest-Neighbor Classifiers

10. SVM Classifiers

10.1   Working of SVM

10.2   Types of SVM

11.  Regression

11.1   Linear Regression

11.2   Non Linear Regression

12.  Introduction to Prediction

4. Clustering and Association Rule Mining

1. Introduction

2. Hierarchical Methods

2.1 K-Means: A Centroid-Based Technique

3. Introduction to Association Rule Mining

3.1 Market Basket Analysis

3.2 The Apriori Algorithm

3.3 Types of Association Rules

5. Introduction to Data Science

1. Basics of Data

2. What is Data Science?

2.1 Data Science Process

2.2 Stages in Data Science Project

2.3 Stages

2.4 Applications of Data Science in various Fields

3. Basics of Data Analytics

3.1 Types of Analytics: Descriptive, Predictive, Prescriptive

4. Statistical Inference - Populations and samples - Statistical Modeling - Probability Distributions

4.1 Populations

4.2 Samples

4.3 Statistical Modeling

4.5 Statistical Modeling Techniques

4.6 Probability Distribution

6. EDA and Data Visualization

1. What is Exploratory Data Analysis?

2. Steps in EDA

3. Basic Tools (Plots, Graphs and Summary Statistics) of EDA

4. Types of Exploratory Data Analysis

5. Basic Principles of Data Visualization

6. Benefits of Data Visualization

7. Data Visualization Techniques

8. Data Visualization Tools

8.1 Data Visualization Tools for Business

8.2 Data Visualization Tools for Coders

Related Products

-10%
Artificial Intelligence
0 Review(s)
In Stock
Price ₹202.50 Regular price ₹225.00

According to New Revised CBCS syllabus w.e.f. 2021-22

BCA (Science Faculty)

Semesters-V

A Text book of

Artificial Intelligence

Author: Archana Taru, Subanggi Paatil, Chitra Mandlik

ISBN : 978-93-90646-75-3

-10%
Principles of Operating...
0 Review(s)
In Stock
Price ₹346.50 Regular price ₹385.00

According to New Revised CBCS syllabus w.e.f. 2021-22

BCA (Science Faculty)

Semesters-V

A Text book of

Principles of Operating Systems

Author: Dr. Anjali Sardesai

ISBN : 978-93-90646-74-6

-10%
Cloud Computing
0 Review(s)
In Stock
Price ₹171.00 Regular price ₹190.00

According to New Revised CBCS syllabus w.e.f. 2021-22

BCA (Science Faculty)

Semesters-V

A Text book of

Cloud Computing

Author: Dr. Harshita Vachhani

ISBN : 978-93-90646-76-0

-10%
Programming in Java
0 Review(s)
In Stock
Price ₹355.50 Regular price ₹395.00

According to New Revised CBCS syllabus w.e.f. 2021-22

BCA (Science Faculty)

Semesters-V

A Text book of

Programming in Java

Author: Dr. Poonam Ponde

ISBN : 978-93-90646-01-2