{"title":"الأشبال یشاركون فی بناء مصر الرقمیة","authors":"محمد عبد الهادی","doi":"10.21608/jstc.2022.274463","DOIUrl":"https://doi.org/10.21608/jstc.2022.274463","url":null,"abstract":"","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115194822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mai A. Elnady, Ibrahim M. Taha, Aliaa kamal Abdella
{"title":"Using TAM to Evaluate the Effect of Intensive Usage of Digital Payment in Egypt","authors":"Mai A. Elnady, Ibrahim M. Taha, Aliaa kamal Abdella","doi":"10.21608/jstc.2022.274487","DOIUrl":"https://doi.org/10.21608/jstc.2022.274487","url":null,"abstract":": The growth of digital payments has been aided by the government’s pledge to provide monetary assistance to the public by making payments directly into bank accounts. Consumers have access to all available cash or lines of credit for a given transaction with digital payment. Digital payment methods encourage pulse transactions, particu-larly online, and consumers are more inclined to buy an item they see on sale online because purchasing it with a credit card would simply take a few clicks. The Central Bank of Egypt (CBE) has assessed its progress in facilitating electronic payments. Egypt’s electronic payment business has undergone a number of recent improvements. This study used the technology acceptance model (TAM) to investigate people’s behavioral intentions to use digital payment and e-commerce to assess their technological proficiency in Egypt. The technological acceptance model may be used to explain users’ desire to embrace a digital payment assessment system according to the findings of this study. Partial least squares-based path modeling with latent variables is a methodology that allows estimating complex cause-effect relationships using empirical data. the purpose of this paper is first, a finite mixture path modeling methodology for separating data based on the heterogeneity of estimates in the inner path model, second, prediction objected segmentation as it performs well in discovering unobserved heterogeneity informative measures . They are implemented in a software application for statistical computation. Analyze the results of finite partial least squares to finite mixture path modeling segmentation and prediction objected segmentation.","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124692189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Importance of Domain Knowledge for Machine Learning","authors":"M. El-hadi","doi":"10.21608/jstc.2022.274481","DOIUrl":"https://doi.org/10.21608/jstc.2022.274481","url":null,"abstract":"Developing machine learning models involves a lot of steps. Whether you’re working with labeled or unlabeled data, you might think numbers are just numbers, and it doesn’t matter what each of the features of a dataset signifies when it comes to spitting out insights with the potential for true impact. It’s true that there are tons of great machine learning libraries out there like scikit-learn which make it straightforward to gather up some data and plop them into a cookie-cutter model. Pretty quickly, you might start to think there’s no problem you can’t solve with machine learning. Frankly, that’s a beginner’s mindset. You are not Importance of Domain Knowledge for Machine Learning?","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115777265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Default Credit Predictive Analytics Model to Enhance Bank Decision Making Using Big Data","authors":"Sherif Elsaied E. Gad, Nashaat Elkhameesy","doi":"10.21608/jstc.2022.274485","DOIUrl":"https://doi.org/10.21608/jstc.2022.274485","url":null,"abstract":"In the financial sector, figuring out a person›s creditworthiness may be exceedingly challenging. Individual credit scores or credit report data are a major component of traditional models that determine credit eligibility. If they can receive financial services at all, it will probably be at very high-interest rates and fees. This sort of strategy makes it exceedingly difficult for those with little to no credit to do so. Financial institutions have been looking for methods to include non-traditional data into the credit risk process to provide services to these people at more affordable prices while maintaining the risk at manageable levels. With an accuracy that is acceptable to financial institutions, Machine Learning (ML) could be utilized to estimate a person›s creditworthiness using atypical data. On the data supplied by Home Credit Group, we processed and engineered features. With an AUC of 0.7926 and 92% accuracy, the Light Gradient Boosting Machine (LGBM) model trained using this data can predict the probability of default using 5-fold cross-validation. The system produced promising results and outperformed all other state-of-the-art methods.","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126664144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acceptance and Use of Cryptocurrency in Saudi Arabia: A Case Study of Bitcoins","authors":"Enas Elshity","doi":"10.21608/jstc.2022.274486","DOIUrl":"https://doi.org/10.21608/jstc.2022.274486","url":null,"abstract":"","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133774063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"افتتاح عدد من مشروعات مصر الرقمیة","authors":"محمد عبد الهادی","doi":"10.21608/jstc.2022.274462","DOIUrl":"https://doi.org/10.21608/jstc.2022.274462","url":null,"abstract":"","PeriodicalId":259413,"journal":{"name":"مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130233139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}