Data Mining: Foundations and Practice

Data Mining: Foundations and Practice

Tsau Young Lin , Ying Xie , Anita Wasilewska
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Dec 23, 2010 · 英語 · ペーパーバック (578 ページ)
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本の詳細

形式 ペーパーバック
ページ数 578
言語 英語
公開されました Dec 23, 2010
出版社 Springer
ISBN-10 3642097227
ISBN-13 9783642097225

説明

This work delves into the essential aspects of data mining, reflecting insights from workshops led by notable experts in the field. It introduces foundational concepts and frameworks that underlie the practice of data mining, making it accessible to both newcomers and seasoned practitioners alike.

Readers will explore various methodologies and tools essential for extracting meaningful patterns from vast data sets. The collaboration among the authors ensures a comprehensive perspective that combines theoretical foundations with practical applications, suitable for enhancing any data-driven project.

With a focus on the evolving landscape of data mining and its implications across different domains, this book serves as a vital resource for anyone looking to deepen their understanding of the subject or refine their skills in data analysis.
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