
Analisi dei dati e data mining
por
A. Azzalini
,
B. Scarpa
Ainda sem avaliações
Science & Technology
Business & Economics
Formato
Brochura
Páginas
245
Idioma
Italiano
Publicado
Jun 21, 2004
Editora
Springer
Edição
1a ed. 2004. 2a ristampa con modifiche 2009
ISBN-10
8847002729
ISBN-13
9788847002722
Descrição
This book offers a comprehensive exploration of data analysis and data mining, focusing on techniques and methodologies that are essential for understanding complex datasets. The authors, A. Azzalini and B. Scarpa, delve into both the theoretical foundations and practical applications, making it a valuable resource for readers ranging from students to seasoned professionals in the field.
Focusing on both statistical principles and computational methods, it provides clear explanations paired with relevant examples, ensuring that readers can grasp intricate concepts with ease. The integration of case studies throughout the text allows for a deeper understanding of how data mining techniques can be applied to real-world scenarios, highlighting the practical implications of theoretical knowledge.
The book emphasizes the importance of data visualization and interpretation, celebrating the role of effective communication in data-driven decision making. Azzalini and Scarpa’s approach encourages readers to synthesize information and extract meaningful insights, essential in an increasingly data-centric world.
Furthermore, the structure of the book allows for progressive learning, guiding readers from basic concepts to more advanced analytical techniques. Its blend of scholarly insight and hands-on application ensures that individuals across various disciplines can enhance their competency in data analysis and mining.
Focusing on both statistical principles and computational methods, it provides clear explanations paired with relevant examples, ensuring that readers can grasp intricate concepts with ease. The integration of case studies throughout the text allows for a deeper understanding of how data mining techniques can be applied to real-world scenarios, highlighting the practical implications of theoretical knowledge.
The book emphasizes the importance of data visualization and interpretation, celebrating the role of effective communication in data-driven decision making. Azzalini and Scarpa’s approach encourages readers to synthesize information and extract meaningful insights, essential in an increasingly data-centric world.
Furthermore, the structure of the book allows for progressive learning, guiding readers from basic concepts to more advanced analytical techniques. Its blend of scholarly insight and hands-on application ensures that individuals across various disciplines can enhance their competency in data analysis and mining.
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