Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics

Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics

Dan A. Simovici , Chaabane Djeraba
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2016 · 영어 · 페이퍼백 · 판본 3개
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설명

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.

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형식 페이퍼백
페이지 842 페이지
언어 영어
출판됨 Sep 3, 2016
출판사 Springer
ISBN-10 1447171349
ISBN-13 9781447171348

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