Data Mining and Exploration: Student Edition - Softcover

Seefeld, Kimberly

Softcover

ISBN 10: 1969233389 ISBN 13: 9781969233388

Verlag: DataJoyAI, 2026

Inhaltsangabe

Data Mining and Exploration - Student Edition 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 textbook 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. 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 This text is ideal for introductory courses in data mining, data science, business analytics, and AI literacy.

Details zur Ausgabe

• Verlag: DataJoyAI
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 1969233389
• ISBN 13: 9781969233388
• Einband: Taschenbuch
• Anzahl der Seiten: 268
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar