Domain Driven Data Mining

Domain Driven Data Mining

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Jan 20, 2010 · Английский · Твердый переплет (264 страницы)
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Детали книги

Формат Твердый переплет
Страницы 264
Язык Английский
Опубликовано Jan 20, 2010
Издатель Springer
ISBN-10 1441957367
ISBN-13 9781441957368

Описание

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.

Жанры

Наука и технологии Бизнес и экономика
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