{"id":"https://openalex.org/W4312849124","doi":"https://doi.org/10.1109/dsit55514.2022.9943962","title":"Research on information retrieval algorithm based on big data block and attribute matrix reasoning","display_name":"Research on information retrieval algorithm based on big data block and attribute matrix reasoning","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312849124","doi":"https://doi.org/10.1109/dsit55514.2022.9943962"},"language":"en","primary_location":{"id":"doi:10.1109/dsit55514.2022.9943962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943962","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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 5th International Conference on Data Science and Information Technology (DSIT)","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/A5085913508","display_name":"Shouwei Li","orcid":"https://orcid.org/0000-0002-5783-4415"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shouwei Li","raw_affiliation_strings":["School of Bigdata Application and Economics Guizhou University of Finance and Economics,Guiyang,China","School of Bigdata Application and Economics Guizhou University of Finance and Economics, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Bigdata Application and Economics Guizhou University of Finance and Economics,Guiyang,China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"School of Bigdata Application and Economics Guizhou University of Finance and Economics, Guiyang, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060934339","display_name":"Zongjun You","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153915","display_name":"Ningbo University Affiliated Hospital","ror":"https://ror.org/045rymn14","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153915"]},{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongjun You","raw_affiliation_strings":["School of Finance and Information Ningbo University of Finance and Economics,Ningbo,China","School of Finance and Information Ningbo University of Finance and Economics, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Finance and Information Ningbo University of Finance and Economics,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"School of Finance and Information Ningbo University of Finance and Economics, Ningbo, China","institution_ids":["https://openalex.org/I4210153915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085913508"],"corresponding_institution_ids":["https://openalex.org/I170172562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19141914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9855999946594238,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9358000159263611,"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/computer-science","display_name":"Computer science","score":0.7081155776977539},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5801515579223633},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4444267749786377},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4274914860725403},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.41953158378601074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4146724343299866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3873087167739868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3514023721218109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13084405660629272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081155776977539},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5801515579223633},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4444267749786377},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4274914860725403},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.41953158378601074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4146724343299866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3873087167739868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3514023721218109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13084405660629272},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit55514.2022.9943962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943962","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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 5th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8249671406","display_name":null,"funder_award_id":"71663010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2403788329","https://openalex.org/W2519706319","https://openalex.org/W2956640534","https://openalex.org/W3000113280"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Big":[0],"data":[1,18,29,54,122],"sets":[2],"are":[3],"composed":[4],"of":[5,35,52,60,70,100,111,120],"many":[6],"records":[7],"with":[8],"various":[9],"attributes.":[10],"In":[11],"order":[12],"to":[13],"extract":[14],"information":[15],"from":[16],"big":[17,28,53,121],"sets,":[19],"this":[20,45,65,103,115],"paper":[21,46,66,104,116],"researched":[22,117],"a":[23],"<tex":[24],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$V$</tex>":[26],"-type":[27],"which":[30],"satisfied":[31],"the":[32,40,95,106,118],"logical":[33],"characteristics":[34],"\u201cattribute":[36],"disjunction\u201d.":[37],"Based":[38,93],"on":[39,94],"inverse":[41],"packet":[42],"set":[43],"theory,":[44],"put":[47],"forward":[48],"some":[49],"new":[50],"concepts":[51],"block,":[55],"such":[56,81],"as":[57,82],"matrix,":[58],"element":[59],"block.":[61],"Using":[62],"these":[63],"concepts,":[64],"presented":[67,75,105],"two":[68],"structures":[69],"block":[71,79,101,112],"reasoning,":[72],"and":[73,89,97,108],"then":[74],"three":[76],"theorems":[77],"for":[78],"element,":[80,102],"intelligent":[83,86,123],"separation":[84,96,107],"theorem,":[85],"retrieval":[87,98,109,124],"the-orem,":[88],"equivalence":[90],"class":[91],"theorem;":[92],"criteria":[99],"algorithm":[110],"element.":[113],"Finally,":[114],"application":[119],"in":[125],"credit":[126],"default.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
