Introduction to Data Mining

Author:   Bechoo Lal
Publisher:   Arcler Press
ISBN:  

9781779563026


Pages:   396
Publication Date:   30 June 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Introduction to Data Mining


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Overview

This book seeks to familiarize students with the fundamental concepts and techniques used in the field of data mining. The content spans a wide range of topics including data preprocessing, classification, clustering, association analysis, and anomaly detection. By combining theoretical insights with practical examples, the book aims to equip students with the skills necessary to extract meaningful patterns and knowledge from large datasets, thus preparing them for challenges in data-driven industries.

Full Product Details

Author:   Bechoo Lal
Publisher:   Arcler Press
Imprint:   Delve Publishing
ISBN:  

9781779563026


ISBN 10:   1779563027
Pages:   396
Publication Date:   30 June 2025
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction To Data Mining 2 Data 3 Exploring Data 4 Classification: Basic Concepts, Decision Trees, And Model Evaluation 5 Alternative Techniques 6 Association Analysis: Basic Concepts And Algorithms 7 Association Analysis: Advanced Concepts 8 Cluster Analysis: Basic Concepts And Algorithms 9 Cluster Analysis: Additional Issues And Algorithms 10 Anomaly Detection

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Author Information

Bechoo Lal, PhD. became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. He has a doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, Master from Banaras Hindu University (BHU), PGP- Data Science from Purdue University, USA. Currently working as a Associate Professor in Department of Computer Science & Engineering, KLEF- KL University Vijayawada Campus Andhra Pradesh, India. His research areas are data science, big data analytics and Machine Learning.

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