书籍详情
格式
精装书
页数
264
语言
英语
已发布
Jan 20, 2010
出版商
Springer
ISBN-10
1441957367
ISBN-13
9781441957368
描述
This work delves into the intricate world of data mining and its relationship with domain-driven methodologies. The authors explore contemporary challenges and trends that shape the field, offering insights into the evolving landscape of ubiquitous intelligence. By emphasizing actionable knowledge, they propose frameworks that blend theoretical understanding with practical application, aiding practitioners in making sense of complex data.
Throughout the book, readers are introduced to methodologies tailored for extracting meaningful insights from vast datasets. The discussions encourage a deeper understanding of how domain-specific knowledge can enhance data mining processes, creating value in various applications. With a focus on innovation and real-world applicability, the text serves as a crucial resource for both researchers and industry professionals seeking to navigate the complexities of data-driven decision-making.
Throughout the book, readers are introduced to methodologies tailored for extracting meaningful insights from vast datasets. The discussions encourage a deeper understanding of how domain-specific knowledge can enhance data mining processes, creating value in various applications. With a focus on innovation and real-world applicability, the text serves as a crucial resource for both researchers and industry professionals seeking to navigate the complexities of data-driven decision-making.
类型
科学与技术
商业与经济