METHOD AND APPARATUS FOR MANAGING BANK BRANCHES
Provided are a method and an apparatus for managing bank branches. The method, in a method of managing branches to be integrated and closed by the apparatus for managing the branches, wherein the apparatus is operated by at least one processor, includes the steps of: learning subscriber information...
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| creator | UM JAE SUK PARK JUN HAK KANG SEOK MIN YOU KUEN YONG LEE JAE YEOL SONG WOO SIK PARK SEONG KYU CHOI OH SEON HAM JONG KWON KWON HYUK JOON LIM SANG SUN KIM WAN HO |
| description | Provided are a method and an apparatus for managing bank branches. The method, in a method of managing branches to be integrated and closed by the apparatus for managing the branches, wherein the apparatus is operated by at least one processor, includes the steps of: learning subscriber information of a closed branch and subscriber information of the branch integrated with the closed branch using a predefined machine learning algorithm to generate a secession prediction model of the closed branch and the secession prediction model of the integrated branch respectively; and calculating and outputting subscriber secession prediction rates by inputting subscriber information of branches to be closed and integrated into the secession prediction model of the closed branch and the integrated branch respectively when receiving a list of combinations of branches to be closed and integrated, wherein the subscriber secession prediction rate is used to determine the branch to be closed and integrated.
은행 영업점 관리 방법 및 그 장치가 제공된다. 이 방법은, 적어도 하나의 프로세서에 의해 동작하는 영업점 관리 장치가 통합 및 폐점 대상인 영업점을 관리하는 방법으로서, 폐점된 영업점의 가입자 정보 및 상기 폐점된 영업점과 통합된 영업점의 가입자 정보를 기 정의된 머신 러닝 알고리즘을 이용하여 학습하여 폐점 영업점의 이탈 예측 모델 및 통합된 영업점의 이탈 예측 모델을 각각 생성하는 단계, 그리고 통합 및 폐점 대상인 영업점들의 조합 리스트를 입력받으면, 통합 및 폐점 대상인 영업점들의 가입자 정보를 상기 폐점 영업점의 이탈 예측 모델 및 상기 통합된 영업점의 이탈 예측 모델에 각각 입력하여 가입자 이탈 예측률을 계산 및 출력하는 단계를 포함하고, 상기 가입자 이탈 예측률은, 통합 및 폐점할 영업점을 결정하는데 사용된다. |
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은행 영업점 관리 방법 및 그 장치가 제공된다. 이 방법은, 적어도 하나의 프로세서에 의해 동작하는 영업점 관리 장치가 통합 및 폐점 대상인 영업점을 관리하는 방법으로서, 폐점된 영업점의 가입자 정보 및 상기 폐점된 영업점과 통합된 영업점의 가입자 정보를 기 정의된 머신 러닝 알고리즘을 이용하여 학습하여 폐점 영업점의 이탈 예측 모델 및 통합된 영업점의 이탈 예측 모델을 각각 생성하는 단계, 그리고 통합 및 폐점 대상인 영업점들의 조합 리스트를 입력받으면, 통합 및 폐점 대상인 영업점들의 가입자 정보를 상기 폐점 영업점의 이탈 예측 모델 및 상기 통합된 영업점의 이탈 예측 모델에 각각 입력하여 가입자 이탈 예측률을 계산 및 출력하는 단계를 포함하고, 상기 가입자 이탈 예측률은, 통합 및 폐점할 영업점을 결정하는데 사용된다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200810&DB=EPODOC&CC=KR&NR=20200094848A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25546,76297</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200810&DB=EPODOC&CC=KR&NR=20200094848A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>UM JAE SUK</creatorcontrib><creatorcontrib>PARK JUN HAK</creatorcontrib><creatorcontrib>KANG SEOK MIN</creatorcontrib><creatorcontrib>YOU KUEN YONG</creatorcontrib><creatorcontrib>LEE JAE YEOL</creatorcontrib><creatorcontrib>SONG WOO SIK</creatorcontrib><creatorcontrib>PARK SEONG KYU</creatorcontrib><creatorcontrib>CHOI OH SEON</creatorcontrib><creatorcontrib>HAM JONG KWON</creatorcontrib><creatorcontrib>KWON HYUK JOON</creatorcontrib><creatorcontrib>LIM SANG SUN</creatorcontrib><creatorcontrib>KIM WAN HO</creatorcontrib><title>METHOD AND APPARATUS FOR MANAGING BANK BRANCHES</title><description>Provided are a method and an apparatus for managing bank branches. The method, in a method of managing branches to be integrated and closed by the apparatus for managing the branches, wherein the apparatus is operated by at least one processor, includes the steps of: learning subscriber information of a closed branch and subscriber information of the branch integrated with the closed branch using a predefined machine learning algorithm to generate a secession prediction model of the closed branch and the secession prediction model of the integrated branch respectively; and calculating and outputting subscriber secession prediction rates by inputting subscriber information of branches to be closed and integrated into the secession prediction model of the closed branch and the integrated branch respectively when receiving a list of combinations of branches to be closed and integrated, wherein the subscriber secession prediction rate is used to determine the branch to be closed and integrated.
은행 영업점 관리 방법 및 그 장치가 제공된다. 이 방법은, 적어도 하나의 프로세서에 의해 동작하는 영업점 관리 장치가 통합 및 폐점 대상인 영업점을 관리하는 방법으로서, 폐점된 영업점의 가입자 정보 및 상기 폐점된 영업점과 통합된 영업점의 가입자 정보를 기 정의된 머신 러닝 알고리즘을 이용하여 학습하여 폐점 영업점의 이탈 예측 모델 및 통합된 영업점의 이탈 예측 모델을 각각 생성하는 단계, 그리고 통합 및 폐점 대상인 영업점들의 조합 리스트를 입력받으면, 통합 및 폐점 대상인 영업점들의 가입자 정보를 상기 폐점 영업점의 이탈 예측 모델 및 상기 통합된 영업점의 이탈 예측 모델에 각각 입력하여 가입자 이탈 예측률을 계산 및 출력하는 단계를 포함하고, 상기 가입자 이탈 예측률은, 통합 및 폐점할 영업점을 결정하는데 사용된다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZND3dQ3x8HdRcPQD4oAAxyDHkNBgBTf_IAVfRz9Hd08_dwUnRz9vBacgRz9nD9dgHgbWtMSc4lReKM3NoOzmGuLsoZtakB-fWlyQmJyal1oS7x1kZGBkYGBgaWJhYuFoTJwqAHaDJow</recordid><startdate>20200810</startdate><enddate>20200810</enddate><creator>UM JAE SUK</creator><creator>PARK JUN HAK</creator><creator>KANG SEOK MIN</creator><creator>YOU KUEN YONG</creator><creator>LEE JAE YEOL</creator><creator>SONG WOO SIK</creator><creator>PARK SEONG KYU</creator><creator>CHOI OH SEON</creator><creator>HAM JONG KWON</creator><creator>KWON HYUK JOON</creator><creator>LIM SANG SUN</creator><creator>KIM WAN HO</creator><scope>EVB</scope></search><sort><creationdate>20200810</creationdate><title>METHOD AND APPARATUS FOR MANAGING BANK BRANCHES</title><author>UM JAE SUK ; PARK JUN HAK ; KANG SEOK MIN ; YOU KUEN YONG ; LEE JAE YEOL ; SONG WOO SIK ; PARK SEONG KYU ; CHOI OH SEON ; HAM JONG KWON ; KWON HYUK JOON ; LIM SANG SUN ; KIM WAN HO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20200094848A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>UM JAE SUK</creatorcontrib><creatorcontrib>PARK JUN HAK</creatorcontrib><creatorcontrib>KANG SEOK MIN</creatorcontrib><creatorcontrib>YOU KUEN YONG</creatorcontrib><creatorcontrib>LEE JAE YEOL</creatorcontrib><creatorcontrib>SONG WOO SIK</creatorcontrib><creatorcontrib>PARK SEONG KYU</creatorcontrib><creatorcontrib>CHOI OH SEON</creatorcontrib><creatorcontrib>HAM JONG KWON</creatorcontrib><creatorcontrib>KWON HYUK JOON</creatorcontrib><creatorcontrib>LIM SANG SUN</creatorcontrib><creatorcontrib>KIM WAN HO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>UM JAE SUK</au><au>PARK JUN HAK</au><au>KANG SEOK MIN</au><au>YOU KUEN YONG</au><au>LEE JAE YEOL</au><au>SONG WOO SIK</au><au>PARK SEONG KYU</au><au>CHOI OH SEON</au><au>HAM JONG KWON</au><au>KWON HYUK JOON</au><au>LIM SANG SUN</au><au>KIM WAN HO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND APPARATUS FOR MANAGING BANK BRANCHES</title><date>2020-08-10</date><risdate>2020</risdate><abstract>Provided are a method and an apparatus for managing bank branches. The method, in a method of managing branches to be integrated and closed by the apparatus for managing the branches, wherein the apparatus is operated by at least one processor, includes the steps of: learning subscriber information of a closed branch and subscriber information of the branch integrated with the closed branch using a predefined machine learning algorithm to generate a secession prediction model of the closed branch and the secession prediction model of the integrated branch respectively; and calculating and outputting subscriber secession prediction rates by inputting subscriber information of branches to be closed and integrated into the secession prediction model of the closed branch and the integrated branch respectively when receiving a list of combinations of branches to be closed and integrated, wherein the subscriber secession prediction rate is used to determine the branch to be closed and integrated.
은행 영업점 관리 방법 및 그 장치가 제공된다. 이 방법은, 적어도 하나의 프로세서에 의해 동작하는 영업점 관리 장치가 통합 및 폐점 대상인 영업점을 관리하는 방법으로서, 폐점된 영업점의 가입자 정보 및 상기 폐점된 영업점과 통합된 영업점의 가입자 정보를 기 정의된 머신 러닝 알고리즘을 이용하여 학습하여 폐점 영업점의 이탈 예측 모델 및 통합된 영업점의 이탈 예측 모델을 각각 생성하는 단계, 그리고 통합 및 폐점 대상인 영업점들의 조합 리스트를 입력받으면, 통합 및 폐점 대상인 영업점들의 가입자 정보를 상기 폐점 영업점의 이탈 예측 모델 및 상기 통합된 영업점의 이탈 예측 모델에 각각 입력하여 가입자 이탈 예측률을 계산 및 출력하는 단계를 포함하고, 상기 가입자 이탈 예측률은, 통합 및 폐점할 영업점을 결정하는데 사용된다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | METHOD AND APPARATUS FOR MANAGING BANK BRANCHES |
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