
Analisi dei dati e data mining
작성자
A. Azzalini
,
B. Scarpa
아직 평점이 없습니다
Science & Technology
Business & Economics
형식
페이퍼백
페이지
245
언어
이탈리아어
출판됨
Jun 21, 2004
출판사
Springer
판
1a ed. 2004. 2a ristampa con modifiche 2009
ISBN-10
8847002729
ISBN-13
9788847002722
설명
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.