| 청구기호 |
TK5101-5105.9 |
| 판사항 |
1st ed. 2022.
|
| 형태사항 |
XII, 206 p. 50 illus., 38 illus. in color. online resource.
|
| 총서명 |
Unsupervised and Semi-Supervised Learning, 2522-8498
|
| 언어 |
English |
| 내용 |
Introduction -- Supervised and unsupervised methods for customer segmentation -- Supervised and unsupervised methods for supply chain management -- Supervised and unsupervised methods for logistics improvement -- Design of recommender systems -- Supervised and unsupervised methods for e-marketing -- Analysis of Blockchain data -- Supervised and unsupervised methods applied in banking -- Cryptocurrency analysis -- Supervised and unsupervised methods to improve operational processes -- Big data analysis and summarization -- Intelligent Financial analysis and sales forecasting -- Financial data modeling and decision making -- Integration of learning methods in Smart ERP systems -- E-commerce recommender systems -- Social media and E-business analysis -- Intelligent Business control and monitoring systems -- Conclusion.
|
| 주제 |
Telecommunication.
Statistics .
Computational intelligence.
Artificial intelligence.
Communications Engineering, Networks.
Statistics in Business, Management, Economics, Finance, Insurance.
Computational Intelligence.
Artificial Intelligence.
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783031184826
Printed edition: 9783031184840
Printed edition: 9783031184857
|
| ISBN |
9783031184833 |
| 기타 표준번호 |
10.1007/978-3-031-18483-3 |
| QR CODE |
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