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KR20040034063A - Method of credit filtering on line by grouping category of business and/or industry - Google Patents

Method of credit filtering on line by grouping category of business and/or industry Download PDF

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KR20040034063A
KR20040034063A KR1020020064116A KR20020064116A KR20040034063A KR 20040034063 A KR20040034063 A KR 20040034063A KR 1020020064116 A KR1020020064116 A KR 1020020064116A KR 20020064116 A KR20020064116 A KR 20020064116A KR 20040034063 A KR20040034063 A KR 20040034063A
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credit
item
filtering
transaction
items
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오민근
박경범
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한국신용평가정보주식회사
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/42Confirmation, e.g. check or permission by the legal debtor of payment
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03Credit; Loans; Processing thereof

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  • Finance (AREA)
  • Engineering & Computer Science (AREA)
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Abstract

본 발명은 신용거래시 업종에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·변경할 수 있도록 하여 더욱 정확한 신용상태를 판단하여 거래를 가능하게 하고, 신용공여시점에서 단순한 신용 불량 유무 확인만이 아니라 향후 부실 가능성을 예측하도록 하는 기업별 및 업종별 분류에 따른 인터넷 또는 전용선 리얼타임(이하 온라인) 신용조회 자동 필터링 방법에 관한 것이다. 본 발명은 온라인 서비스를 이용한 신용거래시 신용조회를 통하여 거래 가능 여부를 판단하는 방법에 있어서, 업종 및 기업의 심사욕구에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·입력하도록 하는 단계; 신용 거래 요청시, 필수항목 출력을 위한 조회자의 데이터 값 입력하고, 해당업체의 필수항목 및 선택항목을 메인 컴퓨터에 출력하는 단계; 및 상기 입력된 조회자의 데이터값을 각 항목의 필터링 기준값과 비교하여 거래 가능 여부를 판단하는 단계로 이루어진 것을 특징으로 한다.The present invention sets a standard item for determining whether it can be traded according to the type of business at the time of credit transaction, and enables to select and change the filtering target item and the reference value individually to determine a more accurate credit status, thereby enabling the transaction, and credit donation. It is about automatic filtering of Internet or leased line real-time (hereinafter referred to as "online") credit checks by company and industry classification, which not only checks whether there is a bad credit at a time, but also predicts the possibility of future insolvency. The present invention provides a method for determining whether a transaction is possible through credit inquiry during a credit transaction using an online service. Selecting and inputting individually; When requesting a credit transaction, inputting a data value of a queryer for outputting a required item, and outputting required items and selection items of a corresponding company to a main computer; And comparing the input data value of the inquirer with a filtering reference value of each item to determine whether it is possible to trade.

Description

기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법{METHOD OF CREDIT FILTERING ON LINE BY GROUPING CATEGORY OF BUSINESS AND/OR INDUSTRY}How to automatically filter online credit inquiries by company and sector classification {METHOD OF CREDIT FILTERING ON LINE BY GROUPING CATEGORY OF BUSINESS AND / OR INDUSTRY}

본 발명은 온라인 신용조회 자동 필터링 방법에 관한 것으로서, 보다 상세하게는 대출신청, 카드발급, 할부거래 등의 신용거래시, 고객의 신용정보를 이용해 거래가능 여부를 1차적으로 파악하는 거래 판단 여과 시스템으로 신용공여시점에서 단순한 신용 불량 유무 확인만이 아니라 향후 부실 가능성을 예측하도록 하는 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법에 관한 것이다.The present invention relates to a method for automatically filtering online credit inquiry, and more specifically, a transaction determination filtration system that primarily determines whether or not a transaction is possible using credit information of a customer during credit transactions such as loan application, card issuance, and installment transaction. The present invention relates to an automatic filtering method for online credit inquiry based on the classification of companies and industries, which not only checks whether there is a bad credit, but also predicts future insolvency.

최근 온라인 서비스를 통한 카드발급 및 대출신청 건이 증가하면서, 이에 따른 신용조회업무에 과다한 시간이 소요되고 있다. 즉, 종래에는 온라인 서비스를 통하여 카드발급 및 대출신청을 접수한 후, 오프라인상에서 일일이 개인별 신용조회를 실시하여 카드 발급 및 대출 여부를 결정하였다.With the recent increase in the number of card issuance and loan applications through online services, the credit inquiry service is taking too much time. That is, in the related art, after receiving a card issuance and loan application through an online service, an individual credit inquiry is performed on an offline basis to determine whether to issue or loan a card.

그러나, 이러한 종래의 신용거래 가능 여부 판단방법은, 심사역의 주관적인 판단에 의하여 신용거래 가능 여부를 판단함으로써 그 판단 기준이 불명확하고, 기업별 및 업종별로 필수적 또는 선택적으로 판단해야 할 항목이 다름에도 불구하고 일괄적으로 불량여부를 판단함으로써 정확한 신용상태를 판단할 수 없으며, 심사에 소요되는 시간과 비용이 과다하게 낭비되고, 향후 부실가능성을 예측할 수 없는 문제점들이 있었다.However, in the conventional method of determining whether the credit is possible, even though the criteria for determining the credit are possible by judging the subjective judgment of the examiner, the criterion is unclear and the items to be judged necessary or selectively by company and industry are different. And it is impossible to determine the exact credit status by collectively determining whether there is a bad, there is a problem that the time and cost required for the examination is excessively wasted, and the possibility of insolvency in the future cannot be predicted.

따라서, 본 발명은 상기한 종래의 제반 문제점을 해결하기 위한 것으로, 신용거래시 업종에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·변경할 수 있도록 하여 더욱 정확한 신용상태를 판단하여 거래를 가능하게 하고, 신용공여시점에서 단순한 신용 불량 유무 확인만이 아니라 향후 부실 가능성을 예측하도록 하는 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법을 제공하는데 그 목적이 있다.Accordingly, the present invention is to solve the above-mentioned conventional problems, and to set the criteria items for determining whether or not to be traded according to the type of business in the credit transaction, and to select and change the filtering target items and the reference values separately. The purpose of this paper is to provide an automatic filtering method for online credit checks by company and industry classification, which enables users to conduct transactions by judging the exact credit status and to predict the possibility of future insolvency as well as to simply check whether there is a bad credit. have.

도 1은 본 발명에 따른 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법의 제어 흐름도.1 is a control flowchart of the online credit query automatic filtering method according to the classification by company and industry according to the present invention.

도 2는 본 발명의 일실시예를 나타낸 제어 흐름도.2 is a control flow diagram illustrating an embodiment of the present invention.

도 3 내지 도 7은 본 발명의 항목 및 필터링 기준값 설정화면을 나타낸 도면.3 to 7 are diagrams showing the items and the filtering reference value setting screen of the present invention.

도 8은 본 발명의 최종결과 화면을 나타낸 도면.8 is a view showing the final result screen of the present invention.

상기한 목적을 달성하기 위한 본 발명에 따른 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법은, 온라인 서비스를 이용한 신용거래시 신용조회를 통하여 거래 가능 여부를 판단하는 방법에 있어서, 업종 및 기업에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·입력하도록 하는 단계; 신용 거래 요청시, 필수항목 출력을 위한 조회자의 데이터 값 입력하고, 해당업체의 필수항목 및 선택항목을 메인 컴퓨터에 출력하는 단계; 및 상기 입력된 조회자의 데이터값을 각 항목의 필터링 기준값과 비교하여 거래 가능 여부를 판단하는 단계로 이루어진 것을 특징으로 한다.In order to achieve the above object, the automatic filtering method of online credit inquiry according to the classification by company and industry according to the present invention is a method of determining whether or not it is possible to trade through credit inquiry during credit transaction using the online service, Setting a reference item for determining whether a transaction is possible, and separately selecting and inputting a filtering target item and a reference value; When requesting a credit transaction, inputting a data value of a queryer for outputting a required item, and outputting required items and selection items of a corresponding company to a main computer; And comparing the input data value of the inquirer with a filtering reference value of each item to determine whether it is possible to trade.

또한, 상기 기준 항목은 분류된 업종의 특징에 따라 필수 입력 항목과 선택 입력 항목으로 세분되며, 각 항목별로 일정범위의 필터링 기준값을 갖는다.In addition, the reference items are subdivided into mandatory input items and optional input items according to the characteristics of the classified industry, and each item has a predetermined range of filtering reference values.

또한, 상기 업종에 따라 선택 입력된 거래가능 여부를 판단하는 필터링 대상 항목 및 기준값을 해당 업체로부터 수시로 변경할 수 있도록 한다.In addition, the filtering target item and the reference value for determining whether or not to be selected and entered in accordance with the type of business can be changed from time to time.

이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예를 설명한다.Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings.

도 1은 본 발명에 따른 기업별 분류에 따른 온라인 신용조회 자동 필터링 방법의 제어 흐름도이고, 도 2는 본 발명의 일실시예를 나타낸 제어 흐름도이다.1 is a control flowchart of an online credit query automatic filtering method according to a classification according to the present invention, and FIG. 2 is a control flowchart illustrating an embodiment of the present invention.

본 발명은 온라인 서비스를 통하여 신용거래시 신용조회를 통하여 거래 가능 여부를 판단하기 위한 통상의 서버 및 신청자 단말기 등의 제반 컴퓨터 시스템이 구축되어 있다. 서버에는 연체회수, 연체기간 등의 정보를 저장하는 단기연체정보DB, 주민번호(법인등록번호), 사업자등록번호, 성명을 저장하는 식별정보DB, 기업형태, 주요재무항목, 기업공개여부, 휴폐업여부, 법률관련정보, 소송계류정보 등을 저장하는 기업정보DB, 신용카드개설수, 백화점카드 개설건수 등을 저장하는 신용거래개설정보DB, 대출/보증 금액, 대출/보증 건수 등을 저장하는 대출/보증정보DB, 불량등록건수, 해제건수, 불량금액 등을 저장하는 불량정보DB를 구비하고 있다.According to the present invention, a general computer system, such as an ordinary server and an applicant's terminal, for determining whether a transaction is possible through a credit inquiry during an online transaction is constructed. Short-term delinquent information DB, which stores information such as the number of overdue times and the period of delinquency, identification information DB that stores resident registration number (corporate registration number), business registration number, name, company type, major financial items, company disclosure, closure of business Corporate information DB that stores status, legal information, litigation pending information, credit transaction establishment security DB that stores the number of credit card openings, department store card openings, loans / guarantees, loans / guarantees, etc. A defect information DB for storing a warranty information DB, a number of defective registrations, a release number, a bad amount of money, and the like is provided.

도 1에 도시된 바와 같이, 본 발명은 온라인 서비스를 이용한 신용거래시 신용조회를 통하여 거래 가능 여부를 판단하는 방법에 있어서, 먼저 기업 (또는 업종별) 심사욕구에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·입력하도록 하는 단계(S100~S110)를 수행한다.As shown in FIG. 1, the present invention relates to a method of determining whether a transaction is possible through credit inquiry during a credit transaction using an online service. Steps S100 to S110 may be set to individually select and input filtering target items and reference values.

여기서, 본원 발명은 조회 데이터를 100여개의 업종으로 세분화하여 관리하고 있으며, 다음의 표1에 도시된 코드 테이블은 대분류로 구분된 업종의 일예를 나타낸 것이다.Here, the present invention is managed by subdividing the inquiry data into more than 100 industries, and the code table shown in Table 1 below shows an example of the industries classified into large categories.

코드code 업종Sectors 1One 은행Bank 22 신용협동조합Credit union 33 상호저축은행Mutual Savings Bank 44 신용카드Credit card 55 할부금융/캐피탈Installment Finance / Capital 66 대금업Lending 77 대출중계업Loan Brokerage 88 보험insurance 99 신용정보(채권추심)Credit information (bond collection) 1010 백화점Department store 1111 기타금융기관Other financial institutions 1212 기타 비금융기관Other non-financial institutions

이와 같이 업종을 분류하는 이유는 각각의 업종마다 신용 평가 기준, 즉 중요 항목이 다르므로, 각각의 업종의 특징에 따라 항목을 설정하되, 필수 입력 항목과 선택 입력 항목으로 세분화하며, 각 항목별로 일정범위의 필터링 기준값을 설정한다.The reason for classifying the business types is that each business type has different credit evaluation criteria, that is, important items. Therefore, the items are set according to the characteristics of each business type, but are divided into required and optional input items. Set the filtering criteria of the range.

상기와 같은 항목들은 상기 서버에 포함된 단기연체정보DB, 식별정보DB, 기업정보DB, 신용거래개설정보DB, 대출/보증정보DB, 불량정보DB에 각각 구분 저장되어 있다가 필요시 리얼타임으로 인출된다.Such items are separately stored in the short-term delinquent information DB, identification information DB, company information DB, credit transaction setting guarantee DB, loan / guarantee information DB, and bad information DB included in the server, and when necessary, in real time. Withdrawn.

도 3 내지 도 7은 본 발명에 따른 사용자 입력화면을 나타낸 도면으로써, 업종 및 기업에 따른 항목과 각 항목에 입력될 필터링 기준값이 나타나 있으며, 이중 기업별 또는 업종별로 필요한 항목을 선택하고, 각 항목의 기준값을 입력한다.3 to 7 are diagrams illustrating a user input screen according to the present invention, wherein items according to industries and companies and filtering criteria values to be input to each item are shown, among which items required for each company or industry are selected, and each item Enter the reference value of.

또한, 상기 기업 심사욕구에 따라 선택 입력된 거래가능 여부를 판단하는 필터링 대상 항목 및 기준값은 해당 업체로부터 수시로 변경할 수 있도록 구성함으로써, 판단 기준 변동시 즉시 대처할 수 있다.In addition, the filtering target item and the reference value for determining whether or not to be selected and entered in accordance with the corporate examination desire can be changed from time to time from the corresponding company, it is possible to immediately cope with the change in the determination criteria.

이후, 카드개설, 대출신청 등의 신용 거래 요청시, 조회자의 주민번호, 법인등록번호 또는 사업자등록번호를 서버에 입력하면, 서버에서는 해당 업종을 상기 표 1과 같이 분류하고, 분류된 해당 업종에 따른 기준 항목(필수항목 및 선택항목)에 조회자의 데이터값를 입력하는 단계(S120~S140)를 수행한다. 때로는 해당 기업의 심사욕구에 따라 업종분류(S130)단계가 생략될 수 있다.Then, when requesting credit transactions, such as opening a card, loan application, enter the resident number, corporate registration number or business registration number of the query in the server, the server classifies the industry as shown in Table 1 above, According to the reference item (mandatory item and optional item) according to the step of inputting the data value of the query (S120 ~ S140) is performed. Sometimes, the industry classification step (S130) may be omitted according to the review needs of the company.

서버는 상기 입력된 조회자의 데이터값을 각 항목의 필터링 기준값과 비교하여 신용 거래 가능 여부를 판단하는 단계(S150~S170)를 수행한다.The server performs the step (S150 ~ S170) of determining whether or not the credit transaction is possible by comparing the input data value of the inquirer with the filtering reference value of each item.

예로서, 도 8에 도시된 바와 같이, 카드발급을 하기 위해 특정인의 주민번호 또는 사업자등록번호를 입력하면, 해당 기업 및 업종의 필수 및 선택 항목과 각 항목의 기준값에 따라 상기 특정인의 신용조회가 이루어져 거래 가능 여부가 판단되고, 도시된 바와 같이 승인 또는 기각 판단을 하게 된다.For example, as shown in FIG. 8, when a specific person's social security number or business registration number is input to issue a card, the credit person's credit inquiry is performed according to the mandatory and optional items of the corresponding company and industry and the reference value of each item. It is determined whether or not the transaction is possible, as shown in the decision to approve or reject.

이와 같이 신용거래 가능 여부가 판단되면, 이 후의 프로세스에 의하여 즉시승인이 이루어질 수도 있으며, 본부심사 등을 거쳐 승인여부를 통보할 수도 있다.In this way, if it is determined that the credit transaction is possible, the approval may be performed immediately by the following process, or may be notified through approval of the headquarters.

이상에서는 본 발명의 바람직한 실시예에 대하여 도시하고 또한 설명하였으나, 본 발명은 상기한 실시예에 한정되지 아니하며, 청구범위에서 청구하는 본 발명의 요지를 벗어남이 없이 당해 본 발명이 속하는 분야에서 통상의 지식을 가진 자라면 누구든지 다양한 변형 실시가 가능한 것은 물론이고, 그와 같은 변경은 기재된 청구범위 내에 있게 된다.Although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the above-described embodiments, and the present invention is not limited to the above-described embodiments without departing from the spirit of the present invention as claimed in the claims. Various modifications can be made by those skilled in the art, and such modifications are intended to fall within the scope of the appended claims.

이상에서 설명한 바와 같이 본 발명에 따른 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법에 의하면, 신용거래시 업종에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·변경할 수 있도록 하여 더욱 정확한 신용상태를 판단하여 거래를 가능하게 하고, 신용공여시점에서 단순한 신용 불량 유무 확인만이 아니라 향후 부실 가능성을 예측할 수 있는 다양한 효과가 있다.As described above, according to the method for automatically filtering online credit inquiries according to the classification according to the company and the industry according to the present invention, it is possible to set the criteria items for determining whether they can be traded according to the industry at the time of credit transaction, and separately filter the target items and the reference values. By making it possible to select and change the transaction, it is possible to determine the more accurate credit status and to make a transaction.

Claims (3)

온라인 서비스를 이용한 신용거래시 신용조회를 통하여 거래 가능 여부를 판단하는 방법에 있어서,In the method of determining whether it is possible to trade through credit inquiry in the credit transaction using the online service, 업종에 따라 거래가능 여부를 판단하는 기준 항목을 설정하고, 필터링 대상 항목 및 기준값을 개별적으로 선택·입력하도록 하는 단계(S100~S110);Setting reference items for determining whether they can be traded according to a business type, and individually selecting and inputting filtering target items and reference values (S100 to S110); 신용 거래 요청시, 필수항목 출력을 위한 조회자의 데이터 값 입력하고, 해당업체의 필수항목 및 선택항목을 메인 컴퓨터에 출력하는 단계(S120~S140); 및When requesting a credit transaction, inputting a data value of a query for outputting a required item, and outputting a required item and a selected item of a corresponding company to the main computer (S120 to S140); And 상기 입력된 조회자의 데이터값을 각 항목의 필터링 기준값과 비교하여 거래 가능 여부를 판단하는 단계(S150~S170)로 이루어진 것을 특징으로 하는 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법.Comparing the data value of the input query with the filtering reference value of each item to determine whether or not trading (S150 ~ S170) characterized in that the online credit query automatic filtering method according to the classification by company and industry. 제 1항에 있어서, 상기 기준 항목은The method of claim 1, wherein the reference item 분류된 업종의 특징에 따라 필수 입력 항목과 선택 입력 항목으로 세분되며, 각 항목별로 일정범위의 필터링 기준값을 갖는 것을 특징으로 하는 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법.The online credit query automatic filtering method according to the classification according to the company and industry, characterized in that it is divided into the required input items and optional input items according to the characteristics of the classified industry, and each item has a certain range of filtering criteria. 제 1항에 있어서, 상기 업종에 따라 선택 입력된 거래가능 여부를 판단하는 필터링 대상 항목 및 기준값을 해당 업체로부터 수시로 변경할 수 있도록 하는 것을 특징으로 하는 기업별 및 업종별 분류에 따른 온라인 신용조회 자동 필터링 방법.The method of claim 1, wherein the filtering target item and the reference value for determining whether or not to be inputted and selected according to the type of business can be changed from a corresponding company at any time. .
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8812387B1 (en) 2013-03-14 2014-08-19 Csidentity Corporation System and method for identifying related credit inquiries
WO2016171408A1 (en) * 2015-04-24 2016-10-27 델타피디에스 주식회사 Activity-inducing message management method and apparatus, and recording medium having same recorded therein
US10339527B1 (en) 2014-10-31 2019-07-02 Experian Information Solutions, Inc. System and architecture for electronic fraud detection
US10593004B2 (en) 2011-02-18 2020-03-17 Csidentity Corporation System and methods for identifying compromised personally identifiable information on the internet
US10699028B1 (en) 2017-09-28 2020-06-30 Csidentity Corporation Identity security architecture systems and methods
US10860958B2 (en) 2015-04-24 2020-12-08 Delta Pds Co., Ltd Apparatus for processing work object and method performing the same
US10896472B1 (en) 2017-11-14 2021-01-19 Csidentity Corporation Security and identity verification system and architecture
US10909617B2 (en) 2010-03-24 2021-02-02 Consumerinfo.Com, Inc. Indirect monitoring and reporting of a user's credit data
US11030562B1 (en) 2011-10-31 2021-06-08 Consumerinfo.Com, Inc. Pre-data breach monitoring
US11151468B1 (en) 2015-07-02 2021-10-19 Experian Information Solutions, Inc. Behavior analysis using distributed representations of event data
US12430646B2 (en) 2021-04-12 2025-09-30 Csidentity Corporation Systems and methods of generating risk scores and predictive fraud modeling

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5611052A (en) * 1993-11-01 1997-03-11 The Golden 1 Credit Union Lender direct credit evaluation and loan processing system
JPH10312437A (en) * 1997-05-14 1998-11-24 Hitachi Ltd Internet banking system
US5940812A (en) * 1997-08-19 1999-08-17 Loanmarket Resources, L.L.C. Apparatus and method for automatically matching a best available loan to a potential borrower via global telecommunications network
KR20000050076A (en) * 2000-05-15 2000-08-05 이재웅 Method for Serving Finance Loan Appliance using Internet
KR20010096448A (en) * 2000-03-31 2001-11-07 이성열 Loan brokerage server system via internet and management method thereof
KR20010109935A (en) * 2000-06-05 2001-12-12 이상건 method for providing credit information management service using an internet
KR20010113269A (en) * 2000-06-19 2001-12-28 라응찬 Cyber Loan System
KR20030058366A (en) * 2001-12-31 2003-07-07 (주)이지엔콘솔 Method to manage credit rating

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5611052A (en) * 1993-11-01 1997-03-11 The Golden 1 Credit Union Lender direct credit evaluation and loan processing system
JPH10312437A (en) * 1997-05-14 1998-11-24 Hitachi Ltd Internet banking system
US5940812A (en) * 1997-08-19 1999-08-17 Loanmarket Resources, L.L.C. Apparatus and method for automatically matching a best available loan to a potential borrower via global telecommunications network
KR20010096448A (en) * 2000-03-31 2001-11-07 이성열 Loan brokerage server system via internet and management method thereof
KR20000050076A (en) * 2000-05-15 2000-08-05 이재웅 Method for Serving Finance Loan Appliance using Internet
KR20010109935A (en) * 2000-06-05 2001-12-12 이상건 method for providing credit information management service using an internet
KR20010113269A (en) * 2000-06-19 2001-12-28 라응찬 Cyber Loan System
KR20030058366A (en) * 2001-12-31 2003-07-07 (주)이지엔콘솔 Method to manage credit rating

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10909617B2 (en) 2010-03-24 2021-02-02 Consumerinfo.Com, Inc. Indirect monitoring and reporting of a user's credit data
US10593004B2 (en) 2011-02-18 2020-03-17 Csidentity Corporation System and methods for identifying compromised personally identifiable information on the internet
US12045755B1 (en) 2011-10-31 2024-07-23 Consumerinfo.Com, Inc. Pre-data breach monitoring
US11568348B1 (en) 2011-10-31 2023-01-31 Consumerinfo.Com, Inc. Pre-data breach monitoring
US11030562B1 (en) 2011-10-31 2021-06-08 Consumerinfo.Com, Inc. Pre-data breach monitoring
US9595066B2 (en) 2013-03-14 2017-03-14 Csidentity Corporation System and method for identifying related credit inquiries
US10592982B2 (en) 2013-03-14 2020-03-17 Csidentity Corporation System and method for identifying related credit inquiries
US8812387B1 (en) 2013-03-14 2014-08-19 Csidentity Corporation System and method for identifying related credit inquiries
US10990979B1 (en) 2014-10-31 2021-04-27 Experian Information Solutions, Inc. System and architecture for electronic fraud detection
US11436606B1 (en) 2014-10-31 2022-09-06 Experian Information Solutions, Inc. System and architecture for electronic fraud detection
US11941635B1 (en) 2014-10-31 2024-03-26 Experian Information Solutions, Inc. System and architecture for electronic fraud detection
US10339527B1 (en) 2014-10-31 2019-07-02 Experian Information Solutions, Inc. System and architecture for electronic fraud detection
US11521140B2 (en) 2015-04-24 2022-12-06 Delta Pds Co., Ltd. Apparatus for processing work object and method performing the same
US10860958B2 (en) 2015-04-24 2020-12-08 Delta Pds Co., Ltd Apparatus for processing work object and method performing the same
WO2016171408A1 (en) * 2015-04-24 2016-10-27 델타피디에스 주식회사 Activity-inducing message management method and apparatus, and recording medium having same recorded therein
US11151468B1 (en) 2015-07-02 2021-10-19 Experian Information Solutions, Inc. Behavior analysis using distributed representations of event data
US12099940B1 (en) 2015-07-02 2024-09-24 Experian Information Solutions, Inc. Behavior analysis using distributed representations of event data
US11157650B1 (en) 2017-09-28 2021-10-26 Csidentity Corporation Identity security architecture systems and methods
US10699028B1 (en) 2017-09-28 2020-06-30 Csidentity Corporation Identity security architecture systems and methods
US11580259B1 (en) 2017-09-28 2023-02-14 Csidentity Corporation Identity security architecture systems and methods
US12455978B1 (en) 2017-09-28 2025-10-28 Csidentity Corporation Identity security architecture systems and methods
US10896472B1 (en) 2017-11-14 2021-01-19 Csidentity Corporation Security and identity verification system and architecture
US12430646B2 (en) 2021-04-12 2025-09-30 Csidentity Corporation Systems and methods of generating risk scores and predictive fraud modeling

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