| 書目名稱 | Soft Computing for Data Mining Applications | | 編輯 | K. R. Venugopal,K. G. Srinivasa,L. M. Patnaik | | 視頻video | http://file.papertrans.cn/871/870469/870469.mp4 | | 概述 | Recent research in the fields of Data Mining in combination with Soft Computing methodologies.State-of-the-art technology in data mining.Includes supplementary material: | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the | | 出版日期 | Book 2009 | | 關(guān)鍵詞 | Racter; Web Intelligence; algorithms; bioinformatics; data mining; evolution; genetic algorithm; genome; lea | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-00193-2 | | isbn_softcover | 978-3-642-10125-0 | | isbn_ebook | 978-3-642-00193-2Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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