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22 results for “Banking Sector”
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Research ArticleOpen accessPhrase in the titleA Review on Data Mining in Banking SectorVikas Jayasree, Rethnamoney Vijayalakshmi Siva BalanThe banking industry has undergone various changes in the way they conduct the business and focus on modern technologies to compete the market. The banking industry has started realizing the importance of creating the knowledge base and its utilization for the benefits of the bank in the area of strategic planning to survive in the competitive market. In the modern … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 9,482 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleInformation Technology Role in Reducing E-Banking Services Risk in Jordanian Banking SectorBadi S. AL-Rawashdeh, Aymen M. Abu-Errub, Ahmad Y. Areiqat, Mohammad DbbaghiehProblem statement: This study aims to highlight the role of information technology in reducing risk of electronic banking services in the Jordanian banking sector. The study was conducted on three banks as a sample representative of the Jordanian banking sector. Approach: Data collection was through conducting personal interviews with the operations managers in the three banks (HBTF, JC Bank and … …Journal of Computer Science, Vol. 8, Issue 3 · 16 Jan 2012 · 7,200 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMERGERS AND ACQUISITIONS IN THE GREEK BANKING SECTOR ADDRESSING THE PROFITABILITY QUESTIONVassilis Chouliaras, Athianos StergiosThe wave of mergers and acquisitions of financial institutions which was observed in the United States and Europe in the 1980s and 1990s seems to have affected the Greek banking market by the end of the 1990s. The result was the emergence of new significant players in the market. Despite the fact that scale economies should lead to the improvement … …Journal of Social Sciences, Vol. 9, Issue 1 · 20 Jun 2013 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial RecognitionRamy Kamal Amin, Ghada A. El Khayat, Farid El Sahn, Abeer A. AmerFacial recognition technology has become a cornerstone in enhancing the security and user experience of electronic banking services. Its ability to provide a seamless yet secure authentication method is vital in combating fraud and maintaining the integrity of online financial transactions. This study presents the development of an advanced electronic banking system that strengthens security through the integration of a … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 3,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of an Automatic Penetration Test Generation Methodology for Security of Web ApplicationsShilpa R. G., Pushphavathi T. P., Murthy P. V. R.In today's world, web application security is becoming more crucial. Web applications frequently hold sensitive data, which might be compromised if it were to fall into the hands of a hostile attacker. This leads to significant losses for businesses and customers alike and exposes the qualities of confidentiality, integrity, and availability. A penetration test is an attempt to exploit vulnerabilities … …Journal of Computer Science, Vol. 20, Issue 10 · 30 Jul 2024 · 5,738 accessesView PDFCite
Research ArticleOpen accessIn the abstractStrengths and Weaknesses of Digital Maturity ModelsAbdoulaye Sadio Barry, Saliha Assoul, Nissrine SouissiAssessing digital maturity is a prerequisite for any digital transformation initiative. This assessment allows the business to know its current level of digital maturity and assess its ability to manage change. The evaluation also enables society to identify the main thrusts and objectives of its digital strategy. This article analyses the strengths and weaknesses of 8 digital maturity models to … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 6,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractSales Forecasting Models: Comparison between ARIMA, LSTM and ProphetDmitry BrykinSales forecasting is crucial for business planning and resource allocation. Data-driven approaches have become popular in this field. This study compares the performance of three forecasting models: Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Prophet within the context of specific sales categories derived from acquiring data provided by a bank. This study uses a time series dataset … …Journal of Computer Science, Vol. 20, Issue 10 · 1 Aug 2024 · 7,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpowering Privacy: Harnessing Hyperledger Fabric to Safeguard EHR SystemsVidhi Thakkar, Vrushank Manharlal ShahThe Blockchain boom began with the debut of Bitcoin. The application of blockchain technology is expanding rapidly. Various sectors such as supply chain, logistics, research, healthcare, government, banking, media, and entertainment have already embraced this ground-breaking, decentralized technology. The healthcare industry is at the top of the list with significant blockchain potential. This article discusses the permissioned blockchain powered by … …Journal of Computer Science, Vol. 19, Issue 11 · 18 Sep 2023 · 6,005 accessesView PDFCite