ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE

In an implementation, a request to compute a new machine-learning model for storage in a data lake is received by a role management system (RMS). A role history data is read by the RMS from a role management application and trace history data from a trace application. Metadata read from a plurality...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Driesen, Volker, Eberlein, Peter
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title
container_volume
creator	Driesen, Volker Eberlein, Peter
description	In an implementation, a request to compute a new machine-learning model for storage in a data lake is received by a role management system (RMS). A role history data is read by the RMS from a role management application and trace history data from a trace application. Metadata read from a plurality of persistencies is stored into the data lake as metadata history. The historic data and metadata history is read by a role recommendation engine (RRE) integrated into the RMS. The RRE, computes the new machine-learning model.
format	Patent
fullrecord	<record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2024143798A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2024143798A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2024143798A13</originalsourceid><addsrcrecordid>eNrjZPAI8vdxVfB19HN0d_V19QtRCI4MDnH1VXByDHZ1UfD3U3D0U_D0C3F1D3IMAQqAVQe5Ovv7AhW7OIZ4AlW4-rl7-rnyMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JL40GAjAyMTQxNjc0sLR0Nj4lQBAKgzLbY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE</title><source>esp@cenet</source><creator>Driesen, Volker ; Eberlein, Peter</creator><creatorcontrib>Driesen, Volker ; Eberlein, Peter</creatorcontrib><description>In an implementation, a request to compute a new machine-learning model for storage in a data lake is received by a role management system (RMS). A role history data is read by the RMS from a role management application and trace history data from a trace application. Metadata read from a plurality of persistencies is stored into the data lake as metadata history. The historic data and metadata history is read by a role recommendation engine (RRE) integrated into the RMS. The RRE, computes the new machine-learning model.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240502&DB=EPODOC&CC=US&NR=2024143798A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240502&DB=EPODOC&CC=US&NR=2024143798A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Driesen, Volker</creatorcontrib><creatorcontrib>Eberlein, Peter</creatorcontrib><title>ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE</title><description>In an implementation, a request to compute a new machine-learning model for storage in a data lake is received by a role management system (RMS). A role history data is read by the RMS from a role management application and trace history data from a trace application. Metadata read from a plurality of persistencies is stored into the data lake as metadata history. The historic data and metadata history is read by a role recommendation engine (RRE) integrated into the RMS. The RRE, computes the new machine-learning model.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAI8vdxVfB19HN0d_V19QtRCI4MDnH1VXByDHZ1UfD3U3D0U_D0C3F1D3IMAQqAVQe5Ovv7AhW7OIZ4AlW4-rl7-rnyMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JL40GAjAyMTQxNjc0sLR0Nj4lQBAKgzLbY</recordid><startdate>20240502</startdate><enddate>20240502</enddate><creator>Driesen, Volker</creator><creator>Eberlein, Peter</creator><scope>EVB</scope></search><sort><creationdate>20240502</creationdate><title>ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE</title><author>Driesen, Volker ; Eberlein, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024143798A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Driesen, Volker</creatorcontrib><creatorcontrib>Eberlein, Peter</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Driesen, Volker</au><au>Eberlein, Peter</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE</title><date>2024-05-02</date><risdate>2024</risdate><abstract>In an implementation, a request to compute a new machine-learning model for storage in a data lake is received by a role management system (RMS). A role history data is read by the RMS from a role management application and trace history data from a trace application. Metadata read from a plurality of persistencies is stored into the data lake as metadata history. The historic data and metadata history is read by a role recommendation engine (RRE) integrated into the RMS. The RRE, computes the new machine-learning model.</abstract><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier
ispartof
issn
language	eng
recordid	cdi_epo_espacenet_US2024143798A1
source	esp@cenet
subjects	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
title	ROLE MANAGEMENT SYSTEM BASED ON AN INTEGRATED ROLE RECOMMENDATION ENGINE
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T13%3A58%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Driesen,%20Volker&rft.date=2024-05-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2024143798A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true