| 书目名称 | Intelligent Data Analysis in Medicine and Pharmacology | | 编辑 | Nada Lavrač,Elpida T. Keravnou,Blaž Zupan | | 视频video | | | 丛书名称 | The Springer International Series in Engineering and Computer Science | | 图书封面 |  | | 描述 | Intelligent data analysis, data mining and knowledge discoveryin databases have recently gained the attention of a large number ofresearchers and practitioners. This is witnessed by the rapidlyincreasing number of submissions and participants at relatedconferences and workshops, by the emergence of new journals in thisarea (e.g., Data Mining and Knowledge Discovery, Intelligent DataAnalysis, etc.), and by the increasing number of new applications inthis field. In our view, the awareness of these challenging researchfields and emerging technologies has been much larger in industry thanin medicine and pharmacology. The main purpose of this book is topresent the various techniques and methods that are available forintelligent data analysis in medicine and pharmacology, and to presentcase studies of their application. . .Intelligent Data Analysisin Medicine and Pharmacology. consists of selected (and thoroughlyrevised) papers presented at the First International Workshop onIntelligent Data Analysis in Medicine and Pharmacology (IDAMAP-96)held in Budapest in August 1996 as part of the 12th EuropeanConference on Artificial Intelligence (ECAI-96), IDAMAP-96 wasorganized with the motivatio | | 出版日期 | Book 1997 | | 关键词 | Monitor; artificial intelligence; classification; data analysis; data mining; database; intelligence; knowl | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-6059-3 | | isbn_softcover | 978-1-4613-7775-7 | | isbn_ebook | 978-1-4615-6059-3Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 1997 |
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发表于 2025-3-21 17:50:17
