Fintech with Artificial Intelligence, Big Data, and Blockchain
Fintech with Artificial Intelligence, Big Data, and Blockchain [electronic resource] /
edited by Paul Moon Sub Choi, Seth H. Huang.
- 1st ed. 2021.
- VI, 304 p. 66 illus., 49 illus. in color. online resource.
- Blockchain Technologies, 2661-8346 .
- Blockchain Technologies, .
1. Blockchain, Cryptocurrency, and Artificial Intelligence in Finance -- 2. Alternative Data, Big Data, and Applications to Finance -- 3. Application of Big Data with Financial Technology in Financial Services -- 4. Using Machine Learning to Predict the Defaults of Credit Card Clients -- 5. Artificial Intelligence and Advanced Time Series Classification: Residual Attention Net for Cross-Domain Modeling -- 6. Generating Synthetic Sequential Data for Enhanced Model Training Through Attention: A Generative Adversarial Net Framework.
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
9789813361379
10.1007/978-981-33-6137-9 doi
Cooperating objects (Computer systems).
Social sciences--Mathematics.
Blockchains (Databases).
Internet of things.
Big data.
Computational intelligence.
Cyber-Physical Systems.
Mathematics in Business, Economics and Finance.
Blockchain.
Internet of Things.
Big Data.
Computational Intelligence.
TK7895.E42 TK5105.8857
621.38
1. Blockchain, Cryptocurrency, and Artificial Intelligence in Finance -- 2. Alternative Data, Big Data, and Applications to Finance -- 3. Application of Big Data with Financial Technology in Financial Services -- 4. Using Machine Learning to Predict the Defaults of Credit Card Clients -- 5. Artificial Intelligence and Advanced Time Series Classification: Residual Attention Net for Cross-Domain Modeling -- 6. Generating Synthetic Sequential Data for Enhanced Model Training Through Attention: A Generative Adversarial Net Framework.
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
9789813361379
10.1007/978-981-33-6137-9 doi
Cooperating objects (Computer systems).
Social sciences--Mathematics.
Blockchains (Databases).
Internet of things.
Big data.
Computational intelligence.
Cyber-Physical Systems.
Mathematics in Business, Economics and Finance.
Blockchain.
Internet of Things.
Big Data.
Computational Intelligence.
TK7895.E42 TK5105.8857
621.38