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派博传思国际中心 »期刊书目

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Titlebook: Intelligent Knowledge; A Study beyond Data Yong Shi,Lingling Zhang,Xingsen Li Book 2015 The Author(s) 2015 Big Data.Data Mining.Domain Dri

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发表于 2025-3-21 17:23:00 | 显示全部楼层 |阅读模式
书目名称Intelligent Knowledge
副标题A Study beyond Data
编辑Yong Shi,Lingling Zhang,Xingsen Li
视频video
概述A valuable resource for researchers who want to learn how the results of data mining (hidden patterns) can be used to effectively support decision-making.Argues that the human knowledge or preferences
丛书名称SpringerBriefs in Business
图书封面Titlebook: Intelligent Knowledge; A Study beyond Data Yong Shi,Lingling Zhang,Xingsen Li Book 2015 The Author(s) 2015 Big Data.Data Mining.Domain Dri
描述This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.
出版日期Book 2015
关键词Big Data; Data Mining; Domain Driven Approaches; Fundamental Method; Intelligent Knowledge; Multiple Crit
版次1
doihttps://doi.org/10.1007/978-3-662-46193-8
isbn_softcover978-3-662-46192-1
isbn_ebook978-3-662-46193-8Series ISSN 2191-5482 Series E-ISSN 2191-5490
issn_series 2191-5482
copyrightThe Author(s) 2015
The information of publication is updating

书目名称Intelligent Knowledge影响因子(影响力)




书目名称Intelligent Knowledge影响因子(影响力)学科排名




书目名称Intelligent Knowledge网络公开度




书目名称Intelligent Knowledge网络公开度学科排名




书目名称Intelligent Knowledge被引频次




书目名称Intelligent Knowledge被引频次学科排名




书目名称Intelligent Knowledge年度引用




书目名称Intelligent Knowledge年度引用学科排名




书目名称Intelligent Knowledge读者反馈




书目名称Intelligent Knowledge读者反馈学科排名




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Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Li und der konkrete auf Personalabbau. Kommen bei der Unternehmensführung vielleicht Bedenken auf, ob den Kunden oder den Mitarbeitern mit einer Neuorganisation nicht zuviel zugemutet wird, erfolgt der Hinweis auf den Unternehmensnamen, der als Marke bestehen bleibe und alles zusammenhalte.
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Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Liversucht. Aber, meine Damen und Herren, Respekt verlangt Aufrichtigkeit. Und ich will aufrichtig sagen, daß mir diese »proportionalisierte Mehrheitswähl« vorkommt wie eine Legierung aus Eisen und Holz. Oder wie eine Kreuzung zwischen einem Pferd und einer Ratte.
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2191-5482 tor Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.978-3-662-46192-1978-3-662-46193-8Series ISSN 2191-5482 Series E-ISSN 2191-5490
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Data Mining and Knowledge Management,ter languages, such as C++, JAVA, structured query language (SQL), on-line analysis processing (OLAP) and R. The process of data mining can be categorized as selecting, transforming, mining, and interpreting data. The ultimate goal of doing data mining is to find knowledge from data to support user’
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