Data Mining and Exploration (Paperback)

Kimberly Seefeld

ISBN 10: 1969233389 / ISBN 13: 9781969233388

Published by Datajoyai, 2026

About this Item

Paperback. Data Mining and Exploration provides a comprehensive, hands-on introduction to the core methods used in modern data analytics and machine learning. Designed for community college and undergraduate students, This book bridges foundational statistical thinking with applied data mining techniques used in today's AI-driven world.The book begins with the history and evolution of data mining and progresses through essential topics including descriptive statistics, data acquisition, data cleaning, transformation, clustering, classification, and association analysis. Each chapter integrates practical tools such as R, Python environments, and AI-assisted analytics platforms, making abstract concepts accessible through real-world applications. Resource files can be downloaded at Special emphasis is placed on modern developments in the field, including AI-enhanced data mining, automated feature engineering, natural language processing, and ethical AI practices. Students are guided through structured labs that reinforce learning through hands-on practice and applied problem-solving.Key Features: Full coverage of the data mining pipelineClear explanations of clustering, classification, and association methodsPractical labs and demonstrations in every chapterIntegration of AI tools and modern analytics platformsStrong focus on ethics, bias, and responsible data useDesigned for applied, non-theoretical learners in data science programs A practical introduction to data mining and exploratory data analysis This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781969233388

Bibliographic Details

• Title: Data Mining and Exploration (Paperback)
• Publisher: Datajoyai
• Publication Date: 2026
• Language: English
• ISBN 10: 1969233389
• ISBN 13: 9781969233388
• Binding: Paperback
• Condition: new

About this title

Synopsis

Data Mining and Exploration provides a comprehensive, hands-on introduction to the core methods used in modern data analytics and machine learning. Designed for community college and undergraduate students, This book bridges foundational statistical thinking with applied data mining techniques used in today's AI-driven world.

The book begins with the history and evolution of data mining and progresses through essential topics including descriptive statistics, data acquisition, data cleaning, transformation, clustering, classification, and association analysis. Each chapter integrates practical tools such as R, Python environments, and AI-assisted analytics platforms, making abstract concepts accessible through real-world applications. Resource files can be downloaded at www.datajoyai.com.

Special emphasis is placed on modern developments in the field, including AI-enhanced data mining, automated feature engineering, natural language processing, and ethical AI practices. Students are guided through structured labs that reinforce learning through hands-on practice and applied problem-solving.

Key Features:

Full coverage of the data mining pipeline

Clear explanations of clustering, classification, and association methods

Practical labs and demonstrations in every chapter

Integration of AI tools and modern analytics platforms

Strong focus on ethics, bias, and responsible data use

Designed for applied, non-theoretical learners in data science programs