描述
This collection captures the essence of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, showcasing an impressive array of research and discussions that took place in Toronto. It features valuable contributions from leading scholars such as Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, and Witold Pedrycz, who explore the intricacies of handling uncertainty and granularity in data.
The proceedings reflect a rich tapestry of ideas that advance the fields of data mining and computational intelligence. Each paper delves into groundbreaking methodologies and applications, providing insights that are both theoretical and practical, making this book a significant resource for researchers and practitioners alike. With its warm approach to complex topics, it encourages readers to engage deeply with the evolving landscape of data science.
The proceedings reflect a rich tapestry of ideas that advance the fields of data mining and computational intelligence. Each paper delves into groundbreaking methodologies and applications, providing insights that are both theoretical and practical, making this book a significant resource for researchers and practitioners alike. With its warm approach to complex topics, it encourages readers to engage deeply with the evolving landscape of data science.
书籍详情
格式
平装书
页数
602 页
语言
英语
已发布
4月 27, 2007
出版商
Springer
ISBN-10
3540725296
ISBN-13
9783540725299