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Expert Systems in Finance
Smart Financial Applications in Big Data Environments

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane

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Informationen zum Autor Noura Metawa is currently an Assistant Professor of Finance, Regis University, USA, and a Lecturer at the Faculty of Commerce, Mansoura University, Egypt. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University, Egypt. Aboul Ella Hassanien is a Professor at Cairo University, Egypt, Faculty of Computers and Information, IT Department, and the Chair of the Technology Center of Blind and Visual Impaired People. M. Kabir Hassan is a Professor of Finance in the Department of Economics and Finance in the University of New Orleans, LA, USA. Zusammenfassung This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. It serves to stimulate the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment. Inhaltsverzeichnis 1. Theoretical and practical foundations of liquidity-adjusted value-at-risk (LVaR): optimization algorithms for portfolio selection and management 2. Financial analysis for mobile and cloud applications 3. Eye-movement study of customers on video advertising marketing 4. An optimization algorithm and smart model for periodic capacitated arc routing problem considering mobile disposal sites 5. Opinion mining analysis of e-commerce sites using fuzzy clustering with whale optimization techniques 6. Big data text mining in the financial sector 7. CEL: citizen economic level using SAW 8. The investment opportunities for building smartphone applications for tourist cities in Saudi Arabia: the case of Abha City 9. An applied credit scoring model 10. Intelligent distributed applications in e-commerce and e-banking 11. Feature selection-based data classification for stock price prediction using ant-miner algorithm 12. The value of simulations characterizing classes of symbiosis: ABCs of formulation design 13. Application of project scheduling in production process for paddy cleaning machine by using PERT and CPM techniques: case study 14. The management of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money 15. Pattern to build a robust trend indicator for automated trading ...

Dettagli sul prodotto

Con la collaborazione di Aboul Ella Hassanien (Editore), M. Kabir Hassan (Editore), Mohamed Elhoseny (Editore), Noura Metawa (Editore), Noura (University of New Orleans Metawa (Editore), Mohamed (Mansoura University Elhoseny (Editore), Aboul Ella (Cairo University Hassanien (Editore), M. Kabir (University of New Orleans Hassan (Editore), Hassan M. Kabir (Editore)
Autori Noura (University of New Orleans Metawa, Noura Elhoseny Metawa
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 30.06.2019
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni
Scienze sociali, diritto, economia > Economia > Tematiche generali, enciclopedie
 
EAN 9780367109523
ISBN 978-0-367-10952-3
Numero di pagine 14
 
Serie Banking, Money and International Finance
Categorie Business & Economics / General, Artificial Intelligence, Saw, BUSINESS & ECONOMICS / Economics / General, BUSINESS & ECONOMICS / Finance / General, TECHNOLOGY & ENGINEERING / Engineering (General), Cloud Computing, BUSINESS & ECONOMICS / Industries / Financial Services, BUSINESS & ECONOMICS / Finance / Financial Engineering, COMPUTERS / Machine Theory, Carp, Essential Oils, Business Process, Finance & accounting, Business mathematics & systems, Finance and accounting, Business mathematics and systems, Intelligent Decision Support, Named Entity Recognition, Botrytis Cinerea, Spp, credit score, credit scoring algorithms, financial risk modelling, machine learning in banking, e-commerce analytics, quantitative portfolio optimisation, deep learning for trading strategies, feature selection methods, Big Data System, GA Base Feature Selection, smartphone applications, Badan Penyelenggara Jaminan Sosial, Influence E-commerce Adoption, Eye Movement Metrics, Saudi Youths, Privacy Risk Perception, Tsk Type, Urban Waste Collection, Liquidity Risk Factor
 

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