JP2008129796A - Computer system for estimating credit rating of telephone contractor based on telephone number - Google Patents

Computer system for estimating credit rating of telephone contractor based on telephone number Download PDF

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JP2008129796A
JP2008129796A JP2006313208A JP2006313208A JP2008129796A JP 2008129796 A JP2008129796 A JP 2008129796A JP 2006313208 A JP2006313208 A JP 2006313208A JP 2006313208 A JP2006313208 A JP 2006313208A JP 2008129796 A JP2008129796 A JP 2008129796A
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usage history
history data
telephone number
telephone
defect
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JP4790573B2 (en
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Kenji Murakami
憲司 村上
Katsunori Uchiumi
勝統 内海
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Jintec Corp
Lightwell Co Ltd
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Lightwell Co Ltd
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Abstract

<P>PROBLEM TO BE SOLVED: To estimate the credit rating of a telephone contractor based on telephone numbers by noticing correlation between use state history in the telephone number of an enterprise and accident occurrence such as bankruptcy. <P>SOLUTION: A use history database (2) stores a plurality of telephone numbers and the use history data of respective telephone numbers by associating them with each other. The use history data (3) time-series arrays the use states of each telephone number correspondingly to an inspection period. A bad result table (4) describes a plurality of transition patterns of the use history data for a prescribed period correspondingly to bad indexes. A control means (5) performs first and second processings when the input of a telephone number A and a reference date B is accepted by an input means. The first processing (6) extracts the use history data C for a prescribed period before or after or before and after the reference date B out of the use history data of a telephone number A in the use history database. The second processing (7) extracts a bad index corresponding to the use history data C from the bad result table and outputs the bad index correspondingly to the telephone number A from an output means. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

この発明は、任意の企業の信用度を調査するに際して、倒産などの事故発生の可能性をきわめて簡便に予測するコンピュータ情報処理技術に関し、とくに、企業の電話番号の利用状況履歴と倒産などの事故発生との相関性に着目した技術に関する。   The present invention relates to a computer information processing technology that predicts the possibility of an accident such as bankruptcy in a very simple manner when investigating the creditworthiness of an arbitrary company, and in particular, the usage history of the company's telephone number and the occurrence of an accident such as bankruptcy. It is related with the technology which paid its attention to the correlation.

特許第3227398号「電話番号の調査方法と装置および電話番号リストのクリーニング方法」に係る発明では、コンピュータによりISDNに自動発呼し、加入者端末に呼び出しをかけることなく、電話番号の利用状況(使われている電話番号・使われていない電話番号・番号変更になった電話番号など)を調査している。また、この調査結果をデータベース化するとともに、調査を定期的に繰り返してつねに最新の利用状況をデータベースに反映させている。さらに、そのデータベースを利用し、たとえば顧客名簿の電話番号リストから現在使用されていない電話番号を抽出している。   In the invention according to Japanese Patent No. 3227398 “Telephone Number Investigation Method and Device and Telephone Number List Cleaning Method”, the telephone number is automatically used to make a call to the ISDN by a computer without calling the subscriber terminal ( We are investigating used phone numbers, unused phone numbers, changed phone numbers, etc.). In addition to creating a database of the survey results, the survey is regularly repeated and the latest usage status is always reflected in the database. Further, using the database, for example, telephone numbers that are not currently used are extracted from a telephone number list of a customer list.

特許第3686967号「不正利用者探知システム及びそのソフトウエアプログラム」に係る発明では、上記のデータベースに電話番号の利用状況の変遷が蓄積されることを利用している。各電話番号の利用状況の変遷、たとえば調査時点1では使用中→調査時点2では使用中→調査時点3では一次取りはずし→調査時点4では非使用→・・・→調査時点10では使用中→・・・という利用状況履歴がデータベースに蓄積される。   The invention according to Japanese Patent No. 3686967 “Unauthorized User Detection System and Software Program Therefor” utilizes the fact that changes in the usage status of telephone numbers are accumulated in the database. Changes in the usage status of each telephone number, for example, in use at survey point 1 → in use at survey point 2 → primary removal at survey point 3 → not in use at survey point 4 → → in use at survey point 10 →・ The usage history is stored in the database.

そして、調査依頼人から調査すべき電話番号が入力されたとき、上記データベースで当該電話番号の利用履歴を調べ、その電話番号が「新設電話」なのか「延滞予備軍電話」なのか「非定期使用電話番号」なのかを判定し、判定結果を調査依頼人に報告するシステム構成としている。   When the telephone number to be investigated is input from the survey client, the use history of the telephone number is examined in the database, and whether the telephone number is a “new phone” or “arrears reserve army phone” The system configuration is to determine whether the telephone number is “used telephone number” and report the result of the determination to the survey client.

企業情報調査機関では、企業の倒産・解散・廃業・被合併などの事故発生を調査してデータベース化している。本願の発明者らは、企業事故データベースに基づいて、事故企業が使用していた電話番号を抽出するとともに、当該企業の事故発生期日(倒産期日)を抽出した。そして、事故発生期日の直前において当該企業の電話番号の利用履歴がどのように変遷していたのかを上記の電話番号利用履歴データベースにより調べた。過去十数年にわたる膨大な数の企業事故についてこの調査を行うとともに、正常企業の電話番号の利用履歴の変遷と比較し、事故直前の電話番号利用状況の変化の特徴分析を行った。分析によれば、事故を起こした企業に多発する電話番号利用履歴のいくつかの類型を見いだすことができた。その分析結果に基づいて以下の不良実績テーブルを作成した。   A corporate information research institution investigates the occurrence of accidents such as bankruptcies, dissolutions, business closures, mergers, etc., and creates a database. The inventors of this application extracted the telephone number which the accident company was using based on the company accident database, and extracted the accident occurrence date (bankruptcy date) of the said company. Then, the telephone number usage history database described above examined how the telephone number usage history of the company had changed immediately before the accident occurrence date. This survey was conducted for a huge number of corporate accidents over the past ten years, and compared with changes in the telephone number usage history of normal companies, a feature analysis of changes in telephone number usage immediately before the accident was conducted. According to the analysis, we were able to find several types of phone number usage histories that frequently occur in the company that caused the accident. Based on the analysis results, the following defect record table was created.

この発明に係るコンピュータシステムは、つぎの事項(1)〜(7)により特定されるものである。
(1)利用履歴データベースと、不良実績テーブルと、制御手段と、入力手段と、出力手段を備え、電話番号に基づいて電話契約者の信用度を推定するコンピュータシステムであること
(2)利用履歴データベースは、電話番号と、当該電話番号の利用履歴データとを対応付けして複数記憶すること
(3)利用履歴データは、電話番号の利用状況を調査期日に対応付けして時系列に配列すること
(4)不良実績テーブルは、所定期間分の利用履歴データの変遷パターンと、不良指標を対応付けして複数記述すること
(5)制御手段は、入力手段より電話番号Aと基準日Bの入力を受け付けた際、第1、第2処理を行うこと
(6)第1処理は、利用履歴データベースにおける電話番号Aの利用履歴データのうち、基準日Bの前または後または前後の所定期間の利用履歴データCを抽出すること
(7)第2処理は、不良実績テーブルから利用履歴データCに該当する不良指標を抽出し、当該不良指標を電話番号Aに対応付けして出力手段より出力させること
===発明の効果===
このシステムによれば、ある企業や人のある時期(上記の基準日Bに該当する)におけるその企業や人の電話番号Aの利用履歴に基づいて、その企業や人の信用度をきわめて簡便に推測することができる。
The computer system according to the present invention is specified by the following items (1) to (7).
(1) A computer system that includes a use history database, a defect record table, a control means, an input means, and an output means, and estimates the creditworthiness of a telephone contractor based on a telephone number. (2) Use history database Is to store a plurality of telephone numbers and the usage history data of the telephone numbers in association with each other. (3) The usage history data is to arrange the usage status of the telephone numbers in time series in association with the survey date. (4) In the defect record table, a transition pattern of usage history data for a predetermined period and a plurality of defect indexes are described in association with each other. (5) The control unit inputs the telephone number A and the reference date B from the input unit. (6) The first process is performed before, after, or before the reference date B in the usage history data of the telephone number A in the usage history database. (7) In the second process, a failure index corresponding to the usage history data C is extracted from the failure record table, and the failure index is output in association with the telephone number A. Outputting from means === Effect of invention ===
According to this system, the creditworthiness of a company or person can be estimated very simply based on the usage history of the company or person's telephone number A at a certain period of time (corresponding to the reference date B above). can do.

この発明の一実施例によるコンピュータシステムの概要を示している。このコンピュータシステムは、ごく一般的なサーバーコンピュータであり、インターネットなどの通信網を介して依頼人コンピュータ(ブラウザ搭載のごく普通のパソコン)と通信可能である。   1 shows an overview of a computer system according to an embodiment of the present invention. This computer system is a very general server computer, and can communicate with a client computer (a normal personal computer with a browser) via a communication network such as the Internet.

本システムのハードディスク装置には、利用履歴データベースと、履歴類型テーブルと、不良実績テーブルが格納されている。   The hard disk device of this system stores a usage history database, a history type table, and a defect record table.

利用履歴データベースは、電話番号と、当該電話番号の利用履歴データとを対応付けして複数記憶したものである。このデータベースにおける電話番号は、使用中・非使用にかかわらず電話番号として存在しうるすべての番号を網羅したものである。また、このデータベースにおける利用履歴データは、電話番号の利用状況を調査期日に対応付けして時系列に配列したデータである。なお、出願人は最近の十数年間にわたる利用履歴データを保有している。すべての電話番号について約1ヶ月の周期で調査を繰り返しており、各調査時点の利用状況を表す符号と、調査日時とが時系列に対応付けされている。   The usage history database stores a plurality of telephone numbers and usage history data of the telephone numbers in association with each other. The telephone numbers in this database cover all numbers that can exist as telephone numbers regardless of whether they are in use or not. The usage history data in this database is data in which the usage statuses of telephone numbers are arranged in time series in association with the survey date. In addition, the applicant possesses usage history data over the recent decades. The survey is repeated for every telephone number in a cycle of about one month, and the codes indicating the usage status at the time of each survey and the survey date and time are associated in time series.

履歴類型テーブルは、所定期間分の利用履歴データの変遷パターンと、パターン番号とを対応付けして複数記述したものである。ここでの所定期間分の利用履歴データの変遷パターンとは、第1実施例としては、3ヶ月以上6ヶ月未満の期間における連続した3回分の調査結果の配列データのことである。また第2実施例としては、3ヶ月以上6ヶ月未満の期間における調査結果の変化を類型化したデータである。そして、各変遷パターンにそれぞれ識別番号(パターン番号)が付いている。ここでは、同一のパターン番号に複数の異なる変遷パターンを対応付けすることを排除しない。   The history type table describes a plurality of transition patterns of usage history data for a predetermined period in association with pattern numbers. Here, the transition pattern of the usage history data for a predetermined period is, as the first embodiment, sequence data of three consecutive survey results in a period of 3 months or more and less than 6 months. The second example is data that typifies the change in the survey results in a period of 3 months or more and less than 6 months. Each transition pattern has an identification number (pattern number). Here, it is not excluded to associate a plurality of different transition patterns with the same pattern number.

不良実績テーブルは、パターン番号と、不良指標を対応付けして複数記述したものである。不良指標とは、前述したように企業事故データベースに基づいて、事故企業が使用していた電話番号が事故直前において利用状況の変遷パターンを示していたかについて、膨大な数に事例分析から得た数値である。具体例としては、0〜100の数値を不良指標とし、100が事故発生の可能性が最大であり、0が最小である。   In the defect record table, a plurality of pattern numbers and defect indexes are associated and described. The defect index is a numerical value obtained from a case analysis of a huge number of cases regarding whether or not the telephone number used by the accident company showed a change pattern of the usage situation immediately before the accident, based on the company accident database as described above. It is. As a specific example, a numerical value of 0 to 100 is used as a defect index, where 100 is the maximum possibility of an accident and 0 is the minimum.

本システムは、調査依頼人コンピュータと通信し、調査依頼人コンピュータから電話番号Aと基準日Bの入力を受け付けた際、つぎのように処理を実行する。   When this system communicates with the survey client computer and receives input of the telephone number A and the reference date B from the survey client computer, the system executes the following processing.

まず、利用履歴データベースにおける電話番号Aの利用履歴データのうち、基準日Bの前または後または前後の所定期間の利用履歴データCを抽出する。このとき抽出する利用履歴データは、上記と同様に、基準日Bのたとえば直前の3ヶ月以上6ヶ月未満の期間における連続した3回分の調査結果の配列である(または、3ヶ月以上6ヶ月未満の期間における調査結果の変化を類型化したデータである)。つぎに、履歴類型テーブルから利用履歴データCに該当するパターン番号Dを抽出する。そして、不良実績テーブルからパターン番号Dに該当する不良指標を抽出し、当該不良指標を電話番号Aに対応付けして調査依頼人コンピュータに送信する。   First, usage history data C for a predetermined period before, after, or before and after the reference date B is extracted from the usage history data of the telephone number A in the usage history database. The usage history data extracted at this time is an array of three consecutive survey results in the period of, for example, the immediately preceding 3 months or more and less than 6 months of the reference date B (or more than 3 months and less than 6 months), as described above. Data categorizing changes in survey results during the period of Next, the pattern number D corresponding to the usage history data C is extracted from the history type table. Then, a defect index corresponding to the pattern number D is extracted from the defect record table, and the defect index is associated with the telephone number A and transmitted to the survey client computer.

もちろん、調査依頼人コンピュータから電話番号と基準日を受け取って1件1件応答する処理方式や、依頼人コンピュータから電話番号と基準日を複数記述したリストを受け取り、それらをまとめて処理し、処理結果の不良指標を付けたリストを作成して依頼人コンピュータに返信する方式など、いろいろな方式を採用することができる。   Of course, it receives a telephone number and reference date from the survey client computer and responds one by one, or receives a list of multiple phone numbers and reference dates from the client computer, processes them all together, processes Various methods can be employed, such as a method of creating a list with a defect index of results and sending it back to the client computer.

なお、本発明の処理論理の原理から明らかなように、パターン番号という中間論理を廃止して、上記データベースから抽出した利用履歴データに基づいて直接的に該当する不良指標を抽出するように構成することも容易である。   As is clear from the principle of the processing logic of the present invention, the intermediate logic called pattern number is abolished and the corresponding defect index is extracted directly based on the usage history data extracted from the database. It is also easy.

また、利用履歴データベースは逐次行われる電話番号利用状況調査の結果に基づいて逐次更新される。不良実績テーブルの内容も、その元となる企業事故データベースが更新されたなら、あたらしい事故事例に基づいて最適化することが望ましい。   In addition, the usage history database is sequentially updated based on the results of telephone number usage status surveys that are sequentially performed. It is desirable to optimize the contents of the defect record table based on new accident cases if the original corporate accident database is updated.

この発明の一実施例によるコンピュータシステムの概略構成図である。1 is a schematic configuration diagram of a computer system according to an embodiment of the present invention.

Claims (2)

利用履歴データベースと、不良実績テーブルと、制御手段と、入力手段と、出力手段を備え、電話番号に基づいて電話契約者の信用度を推定するコンピュータシステムであって、
利用履歴データベースは、電話番号と、当該電話番号の利用履歴データとを対応付けして複数記憶し、
利用履歴データは、電話番号の利用状況を調査期日に対応付けして時系列に配列し、
不良実績テーブルは、所定期間分の利用履歴データの変遷パターンと、不良指標を対応付けして複数記述し、
制御手段は、入力手段より電話番号Aと基準日Bの入力を受け付けた際、第1、第2処理を行い、
第1処理は、利用履歴データベースにおける電話番号Aの利用履歴データのうち、基準日Bの前または後または前後の所定期間の利用履歴データCを抽出し、
第2処理は、不良実績テーブルから利用履歴データCに該当する不良指標を抽出し、当該不良指標を電話番号Aに対応付けして出力手段より出力させる
コンピュータシステム。
A computer system comprising a use history database, a defect record table, a control means, an input means, and an output means, and estimating the credit rating of a telephone contractor based on a telephone number,
The usage history database stores a plurality of telephone numbers and usage history data of the telephone numbers in association with each other,
Usage history data is arranged in chronological order by associating the usage status of telephone numbers with the survey date.
In the defect record table, a plurality of transition patterns of usage history data for a predetermined period and a defect index are described in association with each other,
The control means performs the first and second processes when receiving the input of the telephone number A and the reference date B from the input means,
The first process extracts the usage history data C for a predetermined period before, after, or before and after the reference date B from the usage history data of the telephone number A in the usage history database,
The second process is a computer system in which a defect index corresponding to the usage history data C is extracted from the defect record table, and the defect index is associated with the telephone number A and output from the output means.
利用履歴データベースと、履歴類型テーブルと、不良実績テーブルと、制御手段と、入力手段と、出力手段を備え、電話番号に基づいて電話契約者の信用度を推定するコンピュータシステムであって、
利用履歴データベースは、電話番号と、当該電話番号の利用履歴データとを対応付けして複数記憶し、
利用履歴データは、電話番号の利用状況を調査期日に対応付けして時系列に配列し、
履歴類型テーブルは、所定期間分の利用履歴データの変遷パターンと、パターン番号とを対応付けして複数記述し、
不良実績テーブルは、パターン番号と、不良指標を対応付けして複数記述し、
制御手段は、入力手段より電話番号Aと基準日Bの入力を受け付けた際、第1〜第3処理を行い、
第1処理は、利用履歴データベースにおける電話番号Aの利用履歴データのうち、基準日Bの前または後または前後の所定期間の利用履歴データCを抽出し、
第2処理は、履歴類型テーブルから利用履歴データCに該当するパターン番号Dを抽出し、
第3処理は、不良実績テーブルからパターン番号Dに該当する不良指標を抽出し、当該不良指標を電話番号Aに対応付けして出力手段より出力させる
コンピュータシステム。
A computer system that includes a usage history database, a history type table, a defect record table, a control means, an input means, and an output means, and estimates the creditworthiness of a telephone contractor based on a telephone number,
The usage history database stores a plurality of telephone numbers and usage history data of the telephone numbers in association with each other,
Usage history data is arranged in chronological order by associating the usage status of telephone numbers with the survey date.
The history type table describes a plurality of transition patterns of usage history data for a predetermined period and pattern numbers in association with each other,
In the defect result table, a plurality of pattern numbers and defect indexes are associated and described,
The control means performs the first to third processes when receiving the input of the telephone number A and the reference date B from the input means,
The first process extracts the usage history data C for a predetermined period before, after, or before and after the reference date B from the usage history data of the telephone number A in the usage history database,
The second process extracts the pattern number D corresponding to the usage history data C from the history type table,
The third process is a computer system in which a defect index corresponding to the pattern number D is extracted from the defect record table, and the defect index is associated with the telephone number A and output from the output means.
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Cited By (4)

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JP2013206108A (en) * 2012-03-28 2013-10-07 Jintetsuku:Kk Computing for performing credibility analysis of telephone user on the basis of current use state and past investigation history of telephone number by analysis method designated by investigation client
JP2016151894A (en) * 2015-02-17 2016-08-22 株式会社クローバー・ネットワーク・コム Corporation information creation device, corporation information providing device, corporation information recording medium, and corporation information providing system
JP2017200079A (en) * 2016-04-28 2017-11-02 株式会社ジンテック Computing for outputting distrust index of user by acquiring telephone number of user declared from portable terminal through internet
JP2020098491A (en) * 2018-12-18 2020-06-25 株式会社Paidy Order settlement device, computer program, and order settlement method

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JP2002232583A (en) * 2001-02-06 2002-08-16 Katsuyoshi Nagashima Self-organizing telephone number cleaning system
JP2004336216A (en) * 2003-05-01 2004-11-25 Clover Network Com:Kk Illegitimate user searching system and software program thereof

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JP2002232583A (en) * 2001-02-06 2002-08-16 Katsuyoshi Nagashima Self-organizing telephone number cleaning system
JP2004336216A (en) * 2003-05-01 2004-11-25 Clover Network Com:Kk Illegitimate user searching system and software program thereof

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013206108A (en) * 2012-03-28 2013-10-07 Jintetsuku:Kk Computing for performing credibility analysis of telephone user on the basis of current use state and past investigation history of telephone number by analysis method designated by investigation client
JP2016151894A (en) * 2015-02-17 2016-08-22 株式会社クローバー・ネットワーク・コム Corporation information creation device, corporation information providing device, corporation information recording medium, and corporation information providing system
JP2017200079A (en) * 2016-04-28 2017-11-02 株式会社ジンテック Computing for outputting distrust index of user by acquiring telephone number of user declared from portable terminal through internet
JP2020098491A (en) * 2018-12-18 2020-06-25 株式会社Paidy Order settlement device, computer program, and order settlement method
JP7066151B2 (en) 2018-12-18 2022-05-13 株式会社Paidy Order settlement device, computer program and order settlement method

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