| 書目名稱 | Data Mining for Scientific and Engineering Applications | | 編輯 | Robert L. Grossman,Chandrika Kamath,Raju R. Nambur | | 視頻video | http://file.papertrans.cn/263/262951/262951.mp4 | | 叢書名稱 | Massive Computing | | 圖書封面 |  | | 描述 | Advances in technology are making massive data sets common inmany scientific disciplines, such as astronomy, medical imaging,bio-informatics, combinatorial chemistry, remote sensing, and physics.To find useful information in these data sets, scientists andengineers are turning to data mining techniques. This book is acollection of papers based on the first two in a series of workshopson mining scientific datasets. It illustrates the diversity ofproblems and application areas that can benefit from data mining, aswell as the issues and challenges that differentiate scientific datamining from its commercial counterpart. While the focus of the book ison mining scientific data, the work is of broader interest as many ofthe techniques can be applied equally well to data arising in businessand web applications. ..Audience:. This work would be an excellent text for students andresearchers who are familiar with the basic principles of data miningand want to learn more about the application of data mining to theirproblem in science or engineering. | | 出版日期 | Book 2001 | | 關(guān)鍵詞 | algorithms; bioinformatics; classification; clustering; computer science; data analysis; data mining; datab | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-1733-7 | | isbn_softcover | 978-1-4020-0114-7 | | isbn_ebook | 978-1-4615-1733-7Series ISSN 1569-2698 Series E-ISSN 2468-8738 | | issn_series | 1569-2698 | | copyright | Springer Science+Business Media Dordrecht 2001 |
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