Cao / Yu / Zhang Domain Driven Data Mining
1. Auflage 2010
ISBN: 978-1-4419-5737-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 248 Seiten, eBook
ISBN: 978-1-4419-5737-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Challenges and Trends.- Methodology.- Ubiquitous Intelligence.- Knowledge Actionability.- AKD Frameworks.- Combined Mining.- Agent-Driven Data Mining.- Post Mining.- Mining Actionable Knowledge on Capital Market Data.- Mining Actionable Knowledge on Social Security Data.- Open Issues and Prospects.- Reading Materials.