Complementation method and device for supply chain data missing

The embodiment of the invention provides a complementation method for supply chain data missing, and the method comprises the steps: obtaining a column value similarity matrix and a column name similarity matrix through pairwise calculation of column value similarity and column name similarity for e...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHEN WEI, PAN JIACHENG, WEI YATING, BAI HONGWU, FENG-YING CHAOJIE, ZHU HAIYANG, LYU JIANSHU, WAN QIUCHENG, HAN DONGMING, WENG LUOXUAN, MAO KETIAN, XING YUANKAI
Format: Patent
Sprache:chi ; 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 CHEN WEI
PAN JIACHENG
WEI YATING
BAI HONGWU
FENG-YING CHAOJIE
ZHU HAIYANG
LYU JIANSHU
WAN QIUCHENG
HAN DONGMING
WENG LUOXUAN
MAO KETIAN
XING YUANKAI
description The embodiment of the invention provides a complementation method for supply chain data missing, and the method comprises the steps: obtaining a column value similarity matrix and a column name similarity matrix through pairwise calculation of column value similarity and column name similarity for each data column in a plurality of data tables; and fusing the column value similarity matrix and the column name similarity matrix to obtain an overall similarity matrix, and determining each associated column set for the plurality of data tables based on the overall similarity matrix. And finally, for any data table containing the missing value, a corresponding target data table is constructed based on each associated column set, the target data table comprises a data row and a data column similar to the row and the column where the missing value is located, and the missing value is complemented based on the content in the target data table, so that the missing value is obtained. Therefore, the accuracy and the wo
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116450653A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116450653A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116450653A3</originalsourceid><addsrcrecordid>eNrjZLB3zs8tyEnNTc0rSSzJzM9TyE0tychPUUjMS1FISS3LTE5VSMsvUiguLSjIqVRIzkjMzFNISSxJVMjNLC7OzEvnYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhmYmpgZmpsaOxsSoAQCk1zEC</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Complementation method and device for supply chain data missing</title><source>esp@cenet</source><creator>CHEN WEI ; PAN JIACHENG ; WEI YATING ; BAI HONGWU ; FENG-YING CHAOJIE ; ZHU HAIYANG ; LYU JIANSHU ; WAN QIUCHENG ; HAN DONGMING ; WENG LUOXUAN ; MAO KETIAN ; XING YUANKAI</creator><creatorcontrib>CHEN WEI ; PAN JIACHENG ; WEI YATING ; BAI HONGWU ; FENG-YING CHAOJIE ; ZHU HAIYANG ; LYU JIANSHU ; WAN QIUCHENG ; HAN DONGMING ; WENG LUOXUAN ; MAO KETIAN ; XING YUANKAI</creatorcontrib><description>The embodiment of the invention provides a complementation method for supply chain data missing, and the method comprises the steps: obtaining a column value similarity matrix and a column name similarity matrix through pairwise calculation of column value similarity and column name similarity for each data column in a plurality of data tables; and fusing the column value similarity matrix and the column name similarity matrix to obtain an overall similarity matrix, and determining each associated column set for the plurality of data tables based on the overall similarity matrix. And finally, for any data table containing the missing value, a corresponding target data table is constructed based on each associated column set, the target data table comprises a data row and a data column similar to the row and the column where the missing value is located, and the missing value is complemented based on the content in the target data table, so that the missing value is obtained. Therefore, the accuracy and the wo</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</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&amp;date=20230718&amp;DB=EPODOC&amp;CC=CN&amp;NR=116450653A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230718&amp;DB=EPODOC&amp;CC=CN&amp;NR=116450653A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN WEI</creatorcontrib><creatorcontrib>PAN JIACHENG</creatorcontrib><creatorcontrib>WEI YATING</creatorcontrib><creatorcontrib>BAI HONGWU</creatorcontrib><creatorcontrib>FENG-YING CHAOJIE</creatorcontrib><creatorcontrib>ZHU HAIYANG</creatorcontrib><creatorcontrib>LYU JIANSHU</creatorcontrib><creatorcontrib>WAN QIUCHENG</creatorcontrib><creatorcontrib>HAN DONGMING</creatorcontrib><creatorcontrib>WENG LUOXUAN</creatorcontrib><creatorcontrib>MAO KETIAN</creatorcontrib><creatorcontrib>XING YUANKAI</creatorcontrib><title>Complementation method and device for supply chain data missing</title><description>The embodiment of the invention provides a complementation method for supply chain data missing, and the method comprises the steps: obtaining a column value similarity matrix and a column name similarity matrix through pairwise calculation of column value similarity and column name similarity for each data column in a plurality of data tables; and fusing the column value similarity matrix and the column name similarity matrix to obtain an overall similarity matrix, and determining each associated column set for the plurality of data tables based on the overall similarity matrix. And finally, for any data table containing the missing value, a corresponding target data table is constructed based on each associated column set, the target data table comprises a data row and a data column similar to the row and the column where the missing value is located, and the missing value is complemented based on the content in the target data table, so that the missing value is obtained. Therefore, the accuracy and the wo</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB3zs8tyEnNTc0rSSzJzM9TyE0tychPUUjMS1FISS3LTE5VSMsvUiguLSjIqVRIzkjMzFNISSxJVMjNLC7OzEvnYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhmYmpgZmpsaOxsSoAQCk1zEC</recordid><startdate>20230718</startdate><enddate>20230718</enddate><creator>CHEN WEI</creator><creator>PAN JIACHENG</creator><creator>WEI YATING</creator><creator>BAI HONGWU</creator><creator>FENG-YING CHAOJIE</creator><creator>ZHU HAIYANG</creator><creator>LYU JIANSHU</creator><creator>WAN QIUCHENG</creator><creator>HAN DONGMING</creator><creator>WENG LUOXUAN</creator><creator>MAO KETIAN</creator><creator>XING YUANKAI</creator><scope>EVB</scope></search><sort><creationdate>20230718</creationdate><title>Complementation method and device for supply chain data missing</title><author>CHEN WEI ; PAN JIACHENG ; WEI YATING ; BAI HONGWU ; FENG-YING CHAOJIE ; ZHU HAIYANG ; LYU JIANSHU ; WAN QIUCHENG ; HAN DONGMING ; WENG LUOXUAN ; MAO KETIAN ; XING YUANKAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116450653A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN WEI</creatorcontrib><creatorcontrib>PAN JIACHENG</creatorcontrib><creatorcontrib>WEI YATING</creatorcontrib><creatorcontrib>BAI HONGWU</creatorcontrib><creatorcontrib>FENG-YING CHAOJIE</creatorcontrib><creatorcontrib>ZHU HAIYANG</creatorcontrib><creatorcontrib>LYU JIANSHU</creatorcontrib><creatorcontrib>WAN QIUCHENG</creatorcontrib><creatorcontrib>HAN DONGMING</creatorcontrib><creatorcontrib>WENG LUOXUAN</creatorcontrib><creatorcontrib>MAO KETIAN</creatorcontrib><creatorcontrib>XING YUANKAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN WEI</au><au>PAN JIACHENG</au><au>WEI YATING</au><au>BAI HONGWU</au><au>FENG-YING CHAOJIE</au><au>ZHU HAIYANG</au><au>LYU JIANSHU</au><au>WAN QIUCHENG</au><au>HAN DONGMING</au><au>WENG LUOXUAN</au><au>MAO KETIAN</au><au>XING YUANKAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Complementation method and device for supply chain data missing</title><date>2023-07-18</date><risdate>2023</risdate><abstract>The embodiment of the invention provides a complementation method for supply chain data missing, and the method comprises the steps: obtaining a column value similarity matrix and a column name similarity matrix through pairwise calculation of column value similarity and column name similarity for each data column in a plurality of data tables; and fusing the column value similarity matrix and the column name similarity matrix to obtain an overall similarity matrix, and determining each associated column set for the plurality of data tables based on the overall similarity matrix. And finally, for any data table containing the missing value, a corresponding target data table is constructed based on each associated column set, the target data table comprises a data row and a data column similar to the row and the column where the missing value is located, and the missing value is complemented based on the content in the target data table, so that the missing value is obtained. Therefore, the accuracy and the wo</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116450653A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Complementation method and device for supply chain data missing
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T10%3A15%3A28IST&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=CHEN%20WEI&rft.date=2023-07-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116450653A%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