Data Mining with R - BCA-603 (Sem-VI, MDSU) with Aditya Vishwakarma

Data Mining with R introduces students to the process of extracting useful patterns and insights from large datasets. This book explains how data mining supports decision-making and predictive analysis while introducing students to the R environment, data processing, and analytical techniques. It is designed to help learners understand both the concept and application of mining meaningful information from data.

What's Inside

• Complete coverage of the BCA-603 syllabus
• Introduction to data mining and knowledge discovery
• Data preprocessing and cleaning
• Pattern discovery and classification techniques
• Clustering, association, and prediction methods
• Use of R for data analysis and visualization
• Practical examples and case-based learning
• Decision-support applications in data mining
• Exam-oriented explanations and revision support

Who Is This For?

• BCA students studying BCA-603
• Students preparing for semester examinations
• Learners interested in analytics, data science, and information extraction
• Anyone looking for a structured introduction to data mining with R

Why This Book?

The syllabus tells you what to study. This book is designed to make it easier to understand how large volumes of data can be analyzed to reveal patterns, trends, and useful insights.

Format: Digital eBook

Edition: First Edition, 2026

Based on: MDSU BCA-603 (Semester VI, 2023–24) syllabus

Disclaimer: This is an independently authored educational resource based on the BCA-603 syllabus published by Maharshi Dayanand Saraswati University, Ajmer. It is not an official publication of, endorsed by, or approved by the University.