| 書目名稱 | Intelligent Knowledge |
| 副標題 | A Study beyond Data |
| 編輯 | Yong Shi,Lingling Zhang,Xingsen Li |
| 視頻video | http://file.papertrans.cn/470/469788/469788.mp4 |
| 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 |
| 叢書名稱 | SpringerBriefs in Business |
| 圖書封面 |  |
| 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 |
| 關鍵詞 | Big Data; Data Mining; Domain Driven Approaches; Fundamental Method; Intelligent Knowledge; Multiple Crit |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-46193-8 |
| isbn_softcover | 978-3-662-46192-1 |
| isbn_ebook | 978-3-662-46193-8Series ISSN 2191-5482 Series E-ISSN 2191-5490 |
| issn_series | 2191-5482 |
| copyright | The Author(s) 2015 |
|Archiver|手機版|小黑屋|
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