UID:
almahu_9949383570302882
Format:
1 online resource.
ISBN:
9780429656866
,
0429656866
,
9780429024061
,
0429024061
,
9780429654428
,
0429654421
,
9780429659300
,
042965930X
Series Statement:
Banking, money and international finance
Content:
Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications' size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid 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.
Note:
Includes index.
,
Banking, money and international finance.
,
Theoretical and practical foundations of liquidity-adjusted value-at-risk (lvar) : optimization algorithms for portfolios selection and management / Mazin A.M. Al Janabi -- Financial analysis for mobile and cloud applications / Jennifer Brodmann and Makeen Huda -- Eye movement study of customers on video advertising marketing / Xiaolong Liu, Ruoqi Liang -- An optimization algorithm and smart model for periodic capacitated arc routing problem considering mobile disposal sites / Erfan Babaee Tirkolaee, Ali Asghar Rahmani Hosseinabadi -- Whale optimization based opinion mining analysis of e-commerce site with fuzzy clustering / K. Shankar, M. Ilayaraja, P. Deepalakshmi, S. Ramkumar, K. Sathesh Kumar, S.K. Lakshmanaprabu, Andino Maseleno -- Big data text mining in financial sector / Mirjana Pejic Bach, ivko Krstic, Sanja Seljan -- Cel: citizen economic level using SAW / Andino Maseleno, K. Shankar, Prayugo Khoir, Muhammad Muslihudin -- The investment opportunities for building smartphone applications for tourist cities in Saudi Arabia : the case of abha city / Dr. Saeed Q. Al-Khalidi Al-Maliki, Dr. Mohammed A. Al-Ghobiri -- An applied credit scoring model / Esther Castro, M. Kabir Hassan, Mark Rosa -- Intelligent distributed applications in e-commerce and e-banking / Jennifer Brodmann and Phuvadon Wuthisatian -- Feature selection-based data classification for stock price prediction using Ant Miner algorithm / Saravanan Ramalingam, Pothula Sujatha -- The value of simulations characterizing classes of symbiosis : ABCs of formulation design / K. Basaid, B. Chebli, J.N. Furze, E.H. Mayad and R. Bouharroud -- Application of project scheduling in production process for paddy cleaning machine by using Pert & CPM techniques: case study / S. Bangphan, P. Bangphan and S. Phanphet -- The managing of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money / Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit -- Pattern to build a robust trend indicator for automated trading / Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit -- Index.
Additional Edition:
Print version: Expert systems in finance New York : Routledge, 2019. ISBN 9780367109523 (hardback)
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books
DOI:
10.4324/9780429024061
URL:
https://www.taylorfrancis.com/books/9780429024061
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