描述
This book offers a comprehensive exploration of the mathematical foundations crucial for effective data mining. Authors Dan A. Simovici and Chabane Djeraba dive into essential topics like set theory, partial orders, and combinatorics, illustrating how these concepts apply to data analysis and extraction techniques.
Through clear explanations and practical examples, the text equips readers with the necessary tools to understand and implement advanced data mining methodologies. It serves as a valuable resource for students, researchers, and professionals seeking to deepen their understanding of the mathematical principles that underpin data mining practices.
Through clear explanations and practical examples, the text equips readers with the necessary tools to understand and implement advanced data mining methodologies. It serves as a valuable resource for students, researchers, and professionals seeking to deepen their understanding of the mathematical principles that underpin data mining practices.
書籍詳情
格式
平裝書
頁數
842 頁
語言
英語
已出版
Sep 3, 2016
出版商
Springer
版本
3 個版本
ISBN-10
1447171349
ISBN-13
9781447171348
