Expert Systems in Finance: Smart Financial Applications in Big Data Environments

ISBN-13: 9780367109523 / Angielski / Twarda / 2019 / 14 str.

Aboul Ella Hassanien; M. Kabir Hassan; Mohamed Elhoseny

Opis

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.

Spis treści

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