Detection of associations between datasets
A method, program, and system wherein one or more processors identifies a dataset, a set of output class determinations made for entries of the dataset by a computer decisions algorithm, and an undesired disparity between output class determinations resulting from a first value of a first attribute...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| 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 | Pranay Kumar Lohia Manish Anand Bhide |
| description | A method, program, and system wherein one or more processors identifies a dataset, a set of output class determinations made for entries of the dataset by a computer decisions algorithm, and an undesired disparity between output class determinations resulting from a first value of a first attribute of the dataset and output class determination resulting from a second value of the first attribute. A value of a second attribute is determined to contribute to the undesired disparity through provision to an association rule mining model a first group of the data entries having the first value of the first attribute and a second group of the data entries having the second value of the first attribute, and selecting the value of the second attribute from a set of candidate attributes and values produced by the association rule mining model based on a lift calculation. A request may be received from a user to identify values of one or more attributes other than the first attribute that are contributing to the disparity and a response may be made upon determination that the value of the attribute is contributing to the disparity. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_GB2600551A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>GB2600551A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_GB2600551A3</originalsourceid><addsrcrecordid>eNrjZNBySS1JTS7JzM9TyE9TSCwuzk_OTARxixWSUkvKU1PzFFISSxKLU0uKeRhY0xJzilN5oTQ3g7yba4izh25qQX58anFBYnJqXmpJvLuTkZmBgampoaMxYRUArsUoag</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Detection of associations between datasets</title><source>esp@cenet</source><creator>Pranay Kumar Lohia ; Manish Anand Bhide</creator><creatorcontrib>Pranay Kumar Lohia ; Manish Anand Bhide</creatorcontrib><description>A method, program, and system wherein one or more processors identifies a dataset, a set of output class determinations made for entries of the dataset by a computer decisions algorithm, and an undesired disparity between output class determinations resulting from a first value of a first attribute of the dataset and output class determination resulting from a second value of the first attribute. A value of a second attribute is determined to contribute to the undesired disparity through provision to an association rule mining model a first group of the data entries having the first value of the first attribute and a second group of the data entries having the second value of the first attribute, and selecting the value of the second attribute from a set of candidate attributes and values produced by the association rule mining model based on a lift calculation. A request may be received from a user to identify values of one or more attributes other than the first attribute that are contributing to the disparity and a response may be made upon determination that the value of the attribute is contributing to the disparity.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</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=20220504&DB=EPODOC&CC=GB&NR=2600551A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220504&DB=EPODOC&CC=GB&NR=2600551A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Pranay Kumar Lohia</creatorcontrib><creatorcontrib>Manish Anand Bhide</creatorcontrib><title>Detection of associations between datasets</title><description>A method, program, and system wherein one or more processors identifies a dataset, a set of output class determinations made for entries of the dataset by a computer decisions algorithm, and an undesired disparity between output class determinations resulting from a first value of a first attribute of the dataset and output class determination resulting from a second value of the first attribute. A value of a second attribute is determined to contribute to the undesired disparity through provision to an association rule mining model a first group of the data entries having the first value of the first attribute and a second group of the data entries having the second value of the first attribute, and selecting the value of the second attribute from a set of candidate attributes and values produced by the association rule mining model based on a lift calculation. A request may be received from a user to identify values of one or more attributes other than the first attribute that are contributing to the disparity and a response may be made upon determination that the value of the attribute is contributing to the disparity.</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNBySS1JTS7JzM9TyE9TSCwuzk_OTARxixWSUkvKU1PzFFISSxKLU0uKeRhY0xJzilN5oTQ3g7yba4izh25qQX58anFBYnJqXmpJvLuTkZmBgampoaMxYRUArsUoag</recordid><startdate>20220504</startdate><enddate>20220504</enddate><creator>Pranay Kumar Lohia</creator><creator>Manish Anand Bhide</creator><scope>EVB</scope></search><sort><creationdate>20220504</creationdate><title>Detection of associations between datasets</title><author>Pranay Kumar Lohia ; Manish Anand Bhide</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_GB2600551A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Pranay Kumar Lohia</creatorcontrib><creatorcontrib>Manish Anand Bhide</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pranay Kumar Lohia</au><au>Manish Anand Bhide</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Detection of associations between datasets</title><date>2022-05-04</date><risdate>2022</risdate><abstract>A method, program, and system wherein one or more processors identifies a dataset, a set of output class determinations made for entries of the dataset by a computer decisions algorithm, and an undesired disparity between output class determinations resulting from a first value of a first attribute of the dataset and output class determination resulting from a second value of the first attribute. A value of a second attribute is determined to contribute to the undesired disparity through provision to an association rule mining model a first group of the data entries having the first value of the first attribute and a second group of the data entries having the second value of the first attribute, and selecting the value of the second attribute from a set of candidate attributes and values produced by the association rule mining model based on a lift calculation. A request may be received from a user to identify values of one or more attributes other than the first attribute that are contributing to the disparity and a response may be made upon determination that the value of the attribute is contributing to the disparity.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_GB2600551A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Detection of associations between datasets |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T09%3A52%3A01IST&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=Pranay%20Kumar%20Lohia&rft.date=2022-05-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EGB2600551A%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 |