• Title/Summary/Keyword: Credit Card Transaction

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An Evolutionary Computing Approach to Building Intelligent Frauds Detection System

  • Kim, Jung-Won;Peter Bentley;Chol, Jong-Uk;Kim, Hwa-Soo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.97-108
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    • 2001
  • Frauds detection is a difficult problem, requiring huge computer resources and complicated search activities Researchers have struggled with the problem. Even though a fee research approaches have claimed that their solution is much better than others, research community has not found 'the best solution'well fitting every fraud. Because of the evolving nature of the frauds. a novel and self-adapting method should be devised. In this research a new approach is suggested to solving frauds in insurance claims credit card transaction. Based on evolutionary computing approach, the method is itself self-adjusting and evolving enough to generate a new self of decision-makin rules. We believe that this new approach will provide a promising alternative to conventional ones, in terms of computation performance and classification accuracy.

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공간적 의사결정을 위한 공간 데이터 웨어하우스 설계 및 활용

  • 박지만;황철수
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.11a
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    • pp.9-14
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    • 2003
  • The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amounts of spatial data and the imminent need for turning such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. The system is a key section of the research of multi-dimensional and spatio-temporal analysis in the internet environment.

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An Evolutionary Computing Approach to Building Intelligent Frauds Detection Systems

  • Kim, Jung-Won;Peter Bentley;Park, Jong-Uk
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.06a
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    • pp.293-304
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    • 2001
  • frauds detection is a difficult problem, requiring huge computer resources and complicated search activities. researchers have struggled with the problem. Even though a flew research approaches have claimed that their solution is much bettor than others, research community has not found 'the best solution'well fitting every fraud. Because of the evolving nature of the frauds, a Revel and self-adapting method should be devised. In this research a new approach is suggested to solving frauds in insurance claims and credit card transaction. Based on evolutionary computing approach, the method is itself self-adjusting and evolving enough to generate a new set of decision-making rules. We believe that this new approach will provide a promising alternative to conventional ones, in terms of computation performance and classification accuracy.

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Assessing the Economic Impact of Covid-19 through a Counterfactual Analysis

  • Hongjai Rhee
    • East Asian Economic Review
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    • v.28 no.1
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    • pp.69-94
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    • 2024
  • The Covid-19 pandemic has caused unprecedented disruptions across industries worldwide. This paper aims to analyze the economic impact of the pandemic on the sales performance of basic commercial areas in Seoul, Korea. Using a regression analysis with credit card transaction data, the study underscores the critical nature of determining the reference point for comparison. Firstly, in comparison to the revenue in the same quarter before the onset of the pandemic, a significant decrease in revenue was observed across most categories during the pandemic periods. Secondly, when compared to the counterfactual revenue in the same period, extrapolated by an exponential smoothing forecasting, the overall revenue decrease during the periods was less pronounced, except in a few categories. Interestingly, certain categories appeared to witness marginal increases in sales after the pandemic. The paper discusses some policy implications of these findings.

A Secure Micro-Payment Protocol based on Credit Card in Wireless Internet (무선인터넷에서 신용카드기반의 안전한 소액 지불 프로토콜)

  • Kim Seok mai;Kim Jang Hwan;Lee Chung sei
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.12C
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    • pp.1692-1706
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    • 2004
  • Recently, there are rapid development of information and communication and rapid growth of e-business users. Therefore we try to solve security problem on the internet environment which charges from wire internet to wireless internet or wire/wireless internet. Since the wireless mobile environment is limited, researches such as small size, end-to-end and privacy security are performed by many people. Wireless e-business adopts credit card WPP protocol and AIP protocol proposed by ASPeCT. WAP, one of the protocol used by WPP has weakness of leaking out information from WG which conned wire and wireless communication. certification chain based AIP protocol requires a lot of computation time and user IDs are known to others. We propose a Micro-Payment protocol based on credit card. Our protocol use the encryption techniques of the public key with ID to ensure the secret of transaction in the step of session key generation. IDs are generated using ECC based Weil Paring. We also use the certification with hidden electronic sign to transmit the payment result. The proposed protocol solves the privacy protection and Non-repudiation p개blem. We solve not only the safety and efficiency problem but also independent of specific wireless platform. The protocol requires the certification organization attent the certification process of payment. Therefore, other domain provide also receive an efficient and safe service.

Outlier Detection Method for Mobile Banking with User Input Pattern and E-finance Transaction Pattern (사용자 입력 패턴 및 전자 금융 거래 패턴을 이용한 모바일 뱅킹 이상치 탐지 방법)

  • Min, Hee Yeon;Park, Jin Hyung;Lee, Dong Hoon;Kim, In Seok
    • Journal of Internet Computing and Services
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    • v.15 no.1
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    • pp.157-170
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    • 2014
  • As the increase of transaction using mobile banking continues, threat to the mobile financial security is also increasing. Mobile banking service performs the financial transaction using the dedicate application which is made by financial corporation. It provides the same services as the internet banking service. Personal information such as credit card number, which is stored in the mobile banking application can be used to the additional attack caused by a malicious attack or the loss of the mobile devices. Therefore, in this paper, to cope with the mobile financial accident caused by personal information exposure, we suggest outlier detection method which can judge whether the transaction is conducted by the appropriate user or not. This detection method utilizes the user's input patterns and transaction patterns when a user uses the banking service on the mobile devices. User's input and transaction pattern data involves the information which can be used to discern a certain user. Thus, if these data are utilized appropriately, they can be the information to distinguish abnormal transaction from the transaction done by the appropriate user. In this paper, we collect the data of user's input patterns on a smart phone for the experiment. And we use the experiment data which domestic financial corporation uses to detect outlier as the data of transaction pattern. We verify that our proposal can detect the abnormal transaction efficiently, as a result of detection experiment based on the collected input and transaction pattern data.

Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data (정형 비정형 빅데이터의 융합분석을 위한 소비 트랜드 플랫폼 개발)

  • Kim, Sunghyun;Chang, Sokho;Lee, Sangwon
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.133-143
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    • 2017
  • Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

Electronic Banking and the Changes of Economy Activity (전자금융의 성장과 경제활동의 변화)

  • 김세인
    • The Journal of Information Technology
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    • v.2 no.2
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    • pp.107-125
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    • 1999
  • The growing popularity of Internet and the technology revolution of information communication has affected our financial system, and electronic banking has increased its scale and range since '90. Now this changes, deeply and fast, invade the our economical-social environments. Without having to go to a bank, customer and merchants will be able to perform freely complicated financial transactions by accessing online banking network and CD/ATM etc. Customer can use the various payment method - cash, credit card, smart cards, electronic money in real world and cyberspace, and manager the assets more efficiently. They increased their money liquidity yet. Banks need to expand the various baskets of transaction services and methods to satisfy their customer needs and create new participator, Government had to evaluate and forecast the trend of electronic banking, and establish a new rules and standards in the new electronic payment system.

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Factors Affecting Online Payment Method Decision Behavior of Consumers in Vietnam

  • NGUYEN, Thi Phuong Linh;NGUYEN, Van Hau
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.231-240
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    • 2020
  • E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.

Impacts of E-commerce on the Farmer's Management Behavior (전자상거래가 농업경영 행태에 미치는 영향)

  • Kwon, Yong-Dae;Kim, Gwan-Hou
    • Korean Journal of Agricultural Science
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    • v.32 no.1
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    • pp.95-106
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    • 2005
  • This study was focused on analyzing the impacts of e-commerce on the farmer's management behavior and suggesting alternatives for the development of e-commerce in agricultural industry. For this study, survey was conducted for 24 farmers who sell agricultural products through e-commerce in Chungnam province. The results of study are as follows; First, farmers have changed their management practices in terms of production, marketing and processing by using the information of consumers' preferences while doing e-commerce business. Second, farmers have attempted to differentiate their product through product brand and customer relationship marketing, because they recognized the importance of developing marketing techniques adapted to e-commerce system for more revenues. Third, if quality certification system of agricultural products is introduced under e-commerce, farmers would use it for their environmentally sounded farming because they expect to increase their income. Fourth, 75% of the farmers sold their product at retail price. It means that e-commerce farmers act as a price maker rather than price taker at e-commerce market, who will be encouraged to have larger business size resulting in more added value. Based on the results of study, we suggest that there should be reduction of service charge for credit card, and encouragement of B2B transaction for the economy of scale and introduction of quality certification system so as to establish e-commerce system of agricultural industry as soon as possible.

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