Swarnalata Verma

Data Mining 101 (eBook, ePUB)

Core Concepts and Algorithms
Illustrator: Educohack, Team

• Format: ePub

Produktbeschreibung

Data Mining 101: Core Concepts and Algorithms provides an in-depth exploration of data science and big data methodologies. This book is divided into several chapters, covering a wide range of topics from inductive mining techniques and software tools to the entire process of mining, from discovery to predictive analytics.

We discuss the decision-making capabilities of research methods and how they enhance pattern recognition and data structure representation. In turn, these characterizations improve the efficiency of decision-making algorithms. Starting with a general introduction to data science and process mining, the book builds a solid foundation for understanding key concepts.

Our textbook offers a broad yet detailed overview of data mining, integrating related machine learning and statistical concepts. Topics include data analysis, pattern mining, clustering, classification, kernel methods, high-dimensional data analysis, and complex graphs and networks. Designed for students, researchers, and practitioners, this book provides comprehensive guidance and a wealth of examples.

Data Mining 101: Core Concepts and Algorithms is your essential resource for mastering the art and science of data mining.

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Produktdetails

• Verlag: Educohack Press
• Seitenzahl: 247
• Erscheinungstermin: 7. Januar 2025
• Englisch
• ISBN-13: 9789361528521
• Artikelnr.: 73004428