標(biāo)題: Titlebook: Big Data and Artificial Intelligence in Digital Finance; Increasing Personali John Soldatos,Dimosthenis Kyriazis Book‘‘‘‘‘‘‘‘ 2022 The Edit [打印本頁(yè)] 作者: 廚房默契 時(shí)間: 2025-3-21 18:14
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書目名稱Big Data and Artificial Intelligence in Digital Finance讀者反饋
書目名稱Big Data and Artificial Intelligence in Digital Finance讀者反饋學(xué)科排名
作者: Bother 時(shí)間: 2025-3-21 21:48
Datafication Principles and Patterns,he financial institutions to effectively manage and share their customers’ consents in a transparent and unambiguous manner, ensuring compliance to PSD2 and GDRP, while lowering the barriers of secure data sharing.作者: 救護(hù)車 時(shí)間: 2025-3-22 01:40
Armando Vieira,Bernardete Ribeirogenetic algorithms” is being developed and presented in this chapter. The optimization process is built using artificial intelligence approaches. This allows optimization results to be explained based on the selected customer’s preferences. The solution is designed as an open framework, which enable作者: 教唆 時(shí)間: 2025-3-22 08:07
Armando Vieira,Bernardete Ribeiroc predefined scenarios using newly developed state-of-the-art AI method tailored specifically to time-evolving transaction graphs in transaction data. Easy-to-use tools, early warning system and subsequent parameterized queries with additional white-listed scenarios provide domain experts with addit作者: 創(chuàng)造性 時(shí)間: 2025-3-22 11:56
Historic Overview and Future Outlook of Blockchain Interoperabilityisions. Their attempts at change often result in divided communities and further balkanization. This dissolution threatens the integrity of the decentralized space, as desolate systems are susceptible to manipulation. Some believe that the future of the wider decentralised ecosystem will rely on a W作者: 恫嚇 時(shí)間: 2025-3-22 14:10
Leveraging Management of Customers’ Consent Exploiting the Benefits of Blockchain Technology Towardshe financial institutions to effectively manage and share their customers’ consents in a transparent and unambiguous manner, ensuring compliance to PSD2 and GDRP, while lowering the barriers of secure data sharing.作者: 付出 時(shí)間: 2025-3-22 19:04
Personalized Portfolio Optimization Using Genetic (AI) Algorithmsgenetic algorithms” is being developed and presented in this chapter. The optimization process is built using artificial intelligence approaches. This allows optimization results to be explained based on the selected customer’s preferences. The solution is designed as an open framework, which enable作者: 捐助 時(shí)間: 2025-3-22 23:30 作者: 花爭(zhēng)吵 時(shí)間: 2025-3-23 02:40
Book‘‘‘‘‘‘‘‘ 2022e digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, ?banking and digital finance..作者: 增減字母法 時(shí)間: 2025-3-23 09:10 作者: excursion 時(shí)間: 2025-3-23 11:30
Big Data and Artificial Intelligence in Digital FinanceIncreasing Personali作者: PLUMP 時(shí)間: 2025-3-23 16:00 作者: 談判 時(shí)間: 2025-3-23 19:53
ital finance, including applications beyond the blockbuster .This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these t作者: nitroglycerin 時(shí)間: 2025-3-23 22:51
https://doi.org/10.1007/978-3-031-46383-9ems needed to develop a data pipeline and minimizes the execution time of the data pipeline. In this direction, the chapter presents a range of architectural patterns for data pipelining and illustrates how the presented solution boosts their simplification and optimization.作者: 遷移 時(shí)間: 2025-3-24 04:47
Architectural Patterns for Data Pipelines in Digital Finance and Insurance Applicationsems needed to develop a data pipeline and minimizes the execution time of the data pipeline. In this direction, the chapter presents a range of architectural patterns for data pipelining and illustrates how the presented solution boosts their simplification and optimization.作者: 羅盤 時(shí)間: 2025-3-24 10:16
https://doi.org/10.1007/978-3-031-46383-9ination of capabilities helps to reduce the data pipeline complexity and the total cost of ownership of pipeline management. Moreover, it unveils new ways of generating value with new use cases that were previously not possible.作者: enflame 時(shí)間: 2025-3-24 14:20
Relational Model: Single Table Operationshe Legal Knowledge Interchange Format (LKIF). The provided models establish the cornerstone for semantic interoperability within INFINITECH applications while enabling the distributed processing of semantically linked streams.作者: 鋼盔 時(shí)間: 2025-3-24 17:26 作者: 鐵砧 時(shí)間: 2025-3-24 20:40 作者: GONG 時(shí)間: 2025-3-25 02:46 作者: 健談的人 時(shí)間: 2025-3-25 04:46
Personalized Finance Management for SMEs as a 24/7 concierge. They also operate as a virtual smart advisor that delivers in a simple, efficient, and engaging way business insights to the SME at the right time, i.e., when needed most. Deeper and better insights that empower SMEs contribute toward SMEs’ financial health and business growth, ultimately resulting in high-performance SMEs.作者: 平庸的人或物 時(shí)間: 2025-3-25 08:30
Basics of Natural Language Processing,pplications. Complementary viewpoints of the model are presented, including a logical view and considerations for developing and deploying applications compliant to the reference architecture. The chapter ends up presenting a few practical examples of the use of the reference model for developing data science pipelines for digital finance.作者: EXCEL 時(shí)間: 2025-3-25 14:10
From Logic to Cognitive Science,e-art data management technologies, provides real-time risk assessments, utilizing the latest market data. These features along with the provided pre-trade analysis make this solution a valuable tool for practitioners in high frequency trading (HFT) and investment banking in general.作者: 洞穴 時(shí)間: 2025-3-25 19:09
Armando Vieira,Bernardete Ribeiroorder to build a scalable transaction graph analysis system. Results from the analysis of the real Ethereum and Bitcoin public blockchain data involving cryptocurrency and ERC20 token transactions will be presented.作者: covert 時(shí)間: 2025-3-25 21:28 作者: Obvious 時(shí)間: 2025-3-26 00:33 作者: fructose 時(shí)間: 2025-3-26 06:45
Addressing Risk Assessments in Real-Time for Forex Tradinge-art data management technologies, provides real-time risk assessments, utilizing the latest market data. These features along with the provided pre-trade analysis make this solution a valuable tool for practitioners in high frequency trading (HFT) and investment banking in general.作者: crescendo 時(shí)間: 2025-3-26 11:41 作者: 文字 時(shí)間: 2025-3-26 13:59
Cybersecurity and Fraud Detection in Financial Transactions predictive model with new data) while in a stream layer, the real-time fraud detection is handled based on new input transaction data. The architecture presented makes this solution a valuable tool for supporting fraud analysts and for automating the fraud detection processes.作者: Radiculopathy 時(shí)間: 2025-3-26 18:33 作者: 專心 時(shí)間: 2025-3-26 22:31
Data Models, Queries, Evaluation,changing data across the various stakeholders, including customers, banks, and other financial organizations. This chapter illustrates how blockchain technology can be used to foster such a trusted environment. It also presents the implementation of a decentralized KYC solution over the Hyperledger Fabric permissioned blockchain infrastructure.作者: GEON 時(shí)間: 2025-3-27 03:33
https://doi.org/10.1007/978-3-319-73004-2tment recommendation systems, (2) what financial asset recommendation is and what data it needs to function, (3) how to clean and curate that data, (4) approaches to build/train asset recommendation models and (5) how to evaluate such systems prior to putting them into production.作者: oxidize 時(shí)間: 2025-3-27 06:15 作者: PANT 時(shí)間: 2025-3-27 12:01
Towards Optimal Technological Solutions for Central Bank Digital Currenciesonetary policy, and the increased competition in payments leading to threats in financial and monetary sovereignty. Finally, we assess the appeal of the various technical options for CBDCs against what has emerged as their universally desirable features.作者: 結(jié)果 時(shí)間: 2025-3-27 17:33
Efficient and Accelerated KYC Using Blockchain Technologieschanging data across the various stakeholders, including customers, banks, and other financial organizations. This chapter illustrates how blockchain technology can be used to foster such a trusted environment. It also presents the implementation of a decentralized KYC solution over the Hyperledger Fabric permissioned blockchain infrastructure.作者: 書法 時(shí)間: 2025-3-27 19:25 作者: progestogen 時(shí)間: 2025-3-28 01:43 作者: 注意力集中 時(shí)間: 2025-3-28 04:47 作者: finite 時(shí)間: 2025-3-28 06:44
Architectural Patterns for Data Pipelines in Digital Finance and Insurance Applicationsndles efficiently aggregates, and can handle them at any scale. This holistic solution minimizes the Total Cost of Ownership (TCO) of the storage systems needed to develop a data pipeline and minimizes the execution time of the data pipeline. In this direction, the chapter presents a range of archit作者: 躲債 時(shí)間: 2025-3-28 11:31
Semantic Interoperability Framework for Digital Finance Applicationst. It details a methodology for semantic models and ontology engineering and prototyping that defines the overall strategy used to design and specify semantic models for digital finance applications. The semantic models are organized hierarchically according to the domain and the specific applicatio作者: Clinch 時(shí)間: 2025-3-28 16:10
Towards Optimal Technological Solutions for Central Bank Digital Currenciesch dating back to the 1990s. We find that digital versions of sovereign money accessible by the private sector were motivated by advancements and challenges emerging from the private sector itself. We present the factors that necessitate their issuance, and especially focus on financial stability, m作者: NEEDY 時(shí)間: 2025-3-28 19:10
Historic Overview and Future Outlook of Blockchain Interoperability as a way for disintermediating financial institutions came at a time of rising dismay against the establishment due to the financial collapse of 2008. Bitcoin’s rising popularity gave birth to the realization that its underlying technologies could be utilized for other use-cases besides money. This作者: 裂口 時(shí)間: 2025-3-28 23:10
Efficient and Accelerated KYC Using Blockchain Technologiesers to provide multiple artifacts to the different banks they collaborate with. In an era where data sharing is facilitated from a technological and a regulatory point of view, there is huge potential for improving the efficiency of KYC processes. However, this requires a trustful environment for ex作者: flimsy 時(shí)間: 2025-3-29 06:46
Leveraging Management of Customers’ Consent Exploiting the Benefits of Blockchain Technology Towardsncluding their personal information. Consent management enables the tracking, monitoring and managing the personal data lifecycle in a GDPR compliant manner, and improves customers’ control over their data, empowering them to manage their consent throughout its lifecycle. However, traditional techno作者: 口訣法 時(shí)間: 2025-3-29 10:33 作者: 洞察力 時(shí)間: 2025-3-29 11:59
Next-Generation Personalized Investment Recommendationsinancial advice and recommendations to investors. In this chapter, we will introduce the concept of investment recommendation and describe how automated services for this task can be developed and tested. In particular, this chapter covers the following core topics: (1) the legal landscape for inves作者: 平 時(shí)間: 2025-3-29 18:39 作者: 服從 時(shí)間: 2025-3-29 23:19
Personalized Finance Management for SMEshey shift away from a one-size-fits-all approach to banking services and put emphasis on delivering a personalized SME experience and an improved bank client’s digital experience. An SME customer-centric approach, which ensures that the particularities of the SME are taken care of as much as possibl作者: 好忠告人 時(shí)間: 2025-3-30 00:22 作者: CARE 時(shí)間: 2025-3-30 05:19 作者: Nostalgia 時(shí)間: 2025-3-30 12:02
Cybersecurity and Fraud Detection in Financial Transactionsfraud detection rates would generate significant savings. This chapter arises from the need to overcome the limitations of the rule-based systems to block potentially fraudulent transactions. After mentioning the limitations of rule-based approach, this chapter explains how machine learning is able 作者: FLUSH 時(shí)間: 2025-3-30 13:54 作者: Abrupt 時(shí)間: 2025-3-30 20:11
