Intelligent Knowledge: A Study beyond Data Mining
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 incl...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59483 |
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oai:scholar.dlu.edu.vn:DLU123456789-594832023-11-11T06:42:25Z Intelligent Knowledge: A Study beyond Data Mining Shi, Y Zhang, L Tian, Y. Li, X General Computers Big data Data mining 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. 2015-12-22T07:18:05Z 2015-12-22T07:18:05Z 2015 Book https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59483 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
General Computers Big data Data mining |
| spellingShingle |
General Computers Big data Data mining Shi, Y Zhang, L Tian, Y. Li, X Intelligent Knowledge: A Study beyond Data Mining |
| description |
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. |
| format |
Book |
| author |
Shi, Y Zhang, L Tian, Y. Li, X |
| author_facet |
Shi, Y Zhang, L Tian, Y. Li, X |
| author_sort |
Shi, Y |
| title |
Intelligent Knowledge:
A Study beyond Data Mining |
| title_short |
Intelligent Knowledge:
A Study beyond Data Mining |
| title_full |
Intelligent Knowledge:
A Study beyond Data Mining |
| title_fullStr |
Intelligent Knowledge:
A Study beyond Data Mining |
| title_full_unstemmed |
Intelligent Knowledge:
A Study beyond Data Mining |
| title_sort |
intelligent knowledge:
a study beyond data mining |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59483 |
| _version_ |
1819785681061281792 |