{"id":"https://openalex.org/W4291908478","doi":"https://doi.org/10.1109/icccs55155.2022.9846661","title":"Checklist Screening Similarity Matching Algorithm Based on Decision Fusion","display_name":"Checklist Screening Similarity Matching Algorithm Based on Decision Fusion","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291908478","doi":"https://doi.org/10.1109/icccs55155.2022.9846661"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846661","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018372839","display_name":"Rongqing Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongqing Zhong","raw_affiliation_strings":["Bigdata Center of CCB Fintech,Xiamen,China","Bigdata Center of CCB Fintech, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Bigdata Center of CCB Fintech,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"Bigdata Center of CCB Fintech, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336792","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-7584-1240"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Wangsu Science &#x0026; Technology Co., Ltd,Xiamen,China","Wangsu Science &#x0026"],"affiliations":[{"raw_affiliation_string":"Wangsu Science &#x0026; Technology Co., Ltd,Xiamen,China","institution_ids":[]},{"raw_affiliation_string":"Wangsu Science &#x0026","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379378","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0003-4601-6422"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yang","raw_affiliation_strings":["Xiamen University,Xiamen,China","Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018372839"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07713855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7498999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7498999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.7432000041007996,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.7081999778747559,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.8859872817993164},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6763955354690552},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6713030338287354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063743829727173},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4806605577468872},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4767821133136749},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.47660985589027405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46627169847488403},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42162972688674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3951478600502014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3517395853996277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21348044276237488},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1885506510734558},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08883827924728394}],"concepts":[{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.8859872817993164},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6763955354690552},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6713030338287354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063743829727173},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4806605577468872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4767821133136749},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.47660985589027405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46627169847488403},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42162972688674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3951478600502014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3517395853996277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21348044276237488},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1885506510734558},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08883827924728394},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846661","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1647671624","https://openalex.org/W6636915900"],"related_works":["https://openalex.org/W2362975861","https://openalex.org/W2103432623","https://openalex.org/W2290243676","https://openalex.org/W1592682627","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850","https://openalex.org/W1533413800"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,44],"propose":[4],"the":[5,39,46,58,64,77,89,109,117],"algorithm":[6,92,96,99],"of":[7,88],"checklist":[8,18,24,65,111,118],"screening":[9,119],"based":[10,37],"on":[11,38],"decision":[12,69,90],"fusion.":[13],"First,":[14],"it":[15],"Converts":[16],"unstructured":[17],"data":[19,25,66,112],"to":[20,60,100],"structured,":[21],"regularizes":[22],"structured":[23],"such":[26],"as":[27],"extracting":[28],"index":[29],"words":[30],"and":[31,34,52,63,86,97,108],"removing":[32],"modifiers,":[33],"creates":[35],"Solr-index":[36,110],"customer":[40,59],"entity":[41],"name.":[42],"Then":[43],"calculate":[45],"adjustment":[47],"Levenshtein-Distance(LD)":[48],"similarity":[49,54,102],"matching":[50,55],"score":[51,56],"Longest-Common-Subsequence(LCS)":[53],"between":[57],"be":[61,73],"screened":[62],"respectively.":[67],"Finally,":[68],"fusion":[70,91],"results":[71,82],"can":[72],"gained":[74],"by":[75],"fusing":[76],"two":[78],"scores.":[79],"The":[80],"experimental":[81],"show":[83],"that":[84],"hit-rate":[85],"accuracy":[87],"which":[93],"uses":[94],"LD":[95],"LCS":[98],"calculates":[101],"is":[103,113,121],"higher":[104],"than":[105],"single":[106],"algorithm,":[107],"effectively":[114],"reduced,":[115],"also":[116],"performance":[120],"improved.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
