Business Data Analytics Second International Conference, ICBDA 2023, Dehradun, India, December 7–8, 2023, Proceedings /
This book constitutes the proceedings of the Second International Conference on Business Data Analytics , ICBDA 2023 held in Dehradun, India, in December 7–8, 2023. The 28 full papers presented together were carefully reviewed and selected from 130 submissions. They focus on all aspects of businesse...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Putanga: | 1st ed. 2025. |
| Rangatū: | Communications in Computer and Information Science,
2358 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-80778-7 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopototanga: | This book constitutes the proceedings of the Second International Conference on Business Data Analytics , ICBDA 2023 held in Dehradun, India, in December 7–8, 2023. The 28 full papers presented together were carefully reviewed and selected from 130 submissions. They focus on all aspects of businesses to familiarize and operate strategic firms and talent supervision skills, diabetes data analysis, predictive analysis with a focus on future trend forecasting, approximation theory, control theory, and signal processing, AI-powered drones use computer vision to recognize, classify, and track objects, etc. |
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| Whakaahuatanga ōkiko: | XI, 402 p. 137 illus., 91 illus. in color. online resource. |
| ISBN: | 9783031807787 |
| ISSN: | 1865-0937 ; |
| DOI: | 10.1007/978-3-031-80778-7 |