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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
"synopsis" may belong to another edition of this title.
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Data Mining and Exploration (Paperback or Softback)
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Datajoyai 6/24/2026, 2026
ISBN 10: 1969233389
ISBN 13: 9781969233388
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Data Mining and Exploration
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781969233388
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Data Mining and Exploration
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Data Mining and Exploration (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. 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
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Data Mining and Exploration
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Data Mining and Exploration (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781969233388
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Data Mining and Exploration (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781969233388
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Data Mining and Exploration
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Seller Inventory # 9781969233388
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Data Mining and Exploration
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Data Mining and Exploration
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Taschenbuch. Condition: Neu. Data Mining and Exploration | Data Analytics Curriculum | Taschenbuch | Englisch | 2026 | DataJoyAI | EAN 9781969233388 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135845128
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