书籍详情
格式
平装书
页数
785
语言
英语
已发布
Sep 3, 2009
出版商
Springer
版本
2009
ISBN-10
3642041795
ISBN-13
9783642041792
描述
In this collection from the European Conference on Machine Learning and Knowledge Discovery in Databases, experts convened in Bled, Slovenia, to share groundbreaking research and innovative developments in the field. The proceedings encapsulate a range of topics that reflect the dynamic nature of machine learning and its applications within data science.
Attendees and contributors included some of the leading minds in the field, bringing together diverse perspectives on algorithms, methodologies, and tools designed to harness the power of large datasets. The contributions showcase both theoretical advancements and practical implementations, demonstrating the relevance of machine learning across various domains.
This compilation serves as a valuable resource for researchers, practitioners, and students eager to delve into contemporary challenges and advancements in data mining and knowledge discovery. It highlights the vibrant community engaged in pushing the boundaries of what can be achieved when merging machine learning techniques with insightful data analysis.
Attendees and contributors included some of the leading minds in the field, bringing together diverse perspectives on algorithms, methodologies, and tools designed to harness the power of large datasets. The contributions showcase both theoretical advancements and practical implementations, demonstrating the relevance of machine learning across various domains.
This compilation serves as a valuable resource for researchers, practitioners, and students eager to delve into contemporary challenges and advancements in data mining and knowledge discovery. It highlights the vibrant community engaged in pushing the boundaries of what can be achieved when merging machine learning techniques with insightful data analysis.