説明
This collection features a carefully curated selection of revised papers from the 5th International Workshop on Knowledge Discovery in Inductive Databases, held in Berlin in 2006. Scholars Jan Struyf and Saso Dzeroski compile insights that push the boundaries of data exploration and pattern recognition methods.
The works presented delve into innovative techniques that bridge the gap between databases and knowledge extraction, presenting both theoretical frameworks and practical applications. Researchers and practitioners alike will find value in the diverse approaches discussed, which reflect the forefront of information technology research at the time.
With contributions from experts in the field, this volume serves as a vital resource for anyone looking to deepen their understanding of inductive databases and leverage knowledge discovery for advanced data analytics.
The works presented delve into innovative techniques that bridge the gap between databases and knowledge extraction, presenting both theoretical frameworks and practical applications. Researchers and practitioners alike will find value in the diverse approaches discussed, which reflect the forefront of information technology research at the time.
With contributions from experts in the field, this volume serves as a vital resource for anyone looking to deepen their understanding of inductive databases and leverage knowledge discovery for advanced data analytics.
本の詳細
形式
ペーパーバック
ページ数
311ページ
言語
英語
公開されました
Nov 7, 2007
出版社
Springer
ISBN-10
3540755489
ISBN-13
9783540755487