First Step in Data Mining
First Step in Data Mining
What You Need to Know About Data Mining From Basics → Classification → Clustering → Parallel Computing with MPI
About the Book
Your First Step in Data Mining is a beginner-friendly guide designed for students, researchers, and developers who want to understand the foundations of data mining and knowledge discovery.
This book introduces the essential concepts and techniques used to extract meaningful insights from data, with a clear balance between theory and practical applications. Whether you are new to data science or coming from programming, this book helps you build a solid foundation to explore the world of big data and machine learning.
What you will learn:
- The role of data mining in today’s digital world
- Fundamentals of classification techniques
- Core clustering algorithms: K-Means, K-Medoids, CLARA, DBSCAN, and Hierarchical methods
- Basics of decision trees and their applications
- Real-world examples and use cases in finance, business, and technology
This is not just a theoretical book — it is written in a simple, accessible style to make data mining concepts easy to grasp. It’s perfect for anyone who wants to take their first step into data mining, data science, and artificial intelligence.
About the Author
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