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Data-Driven Modelling and Predictive Analytics in Business and Finance : Concepts, Designs, Technologies, and Applications.
・ISBN 978-1-032-60191-5 hard GB£ 235.00
¥74,448.- (税込) ※(※)価格はご注文時の参考価格となります。
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・ISBN 978-1-032-60062-8 paper GB£ 87.99
¥27,875.- (税込) ※(※)価格はご注文時の参考価格となります。
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-032-61884-5
| 著者・編者 | Khang, Alex / Gujrati, Rashmi / Uygun, Hayri et al. (eds.), |
|---|---|
| シリーズ | Advances in Computational Collective Intelligence |
| 出版社 | (Auerbach, US) |
| 出版年月 | 2024.07 |
| ページ数 | 423 pp. |
| 言語 | ENG |
| ニュース番号 | <719-339 719-395> |
解説
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.
Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:
- Data-driven modelling
- Predictive analytics
- Data analytics and visualization tools
- AI-aided applications
- Cybersecurity techniques
- Cloud computing
- IoT-enabled systems for developing smart financial systems
This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.