{"id":"https://openalex.org/W3164925544","doi":"https://doi.org/10.1155/2021/2846621","title":"Research on the Effect of English Talents Gathering Based on Big Data Hotspot Collection Technology","display_name":"Research on the Effect of English Talents Gathering Based on Big Data Hotspot Collection Technology","publication_year":2021,"publication_date":"2021-05-23","ids":{"openalex":"https://openalex.org/W3164925544","doi":"https://doi.org/10.1155/2021/2846621","mag":"3164925544"},"language":"en","primary_location":{"id":"doi:10.1155/2021/2846621","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2846621","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2846621.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/2846621.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102838636","display_name":"Chunyan Wei","orcid":"https://orcid.org/0000-0002-3158-0488"},"institutions":[{"id":"https://openalex.org/I903994226","display_name":"Xuchang University","ror":"https://ror.org/03k174p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I903994226"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyan Wei","raw_affiliation_strings":["Xuchang University, Xuchang 461000, China"],"raw_orcid":"https://orcid.org/0000-0002-3158-0488","affiliations":[{"raw_affiliation_string":"Xuchang University, Xuchang 461000, China","institution_ids":["https://openalex.org/I903994226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102838636"],"corresponding_institution_ids":["https://openalex.org/I903994226"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.6407,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70463449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9440000057220459,"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/hotspot","display_name":"Hotspot (geology)","score":0.7592532634735107},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6962606906890869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418175101280212},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5321879386901855},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5070071220397949},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4866367280483246},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4242745637893677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42295634746551514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3478354215621948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.203574538230896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15588903427124023},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.0849420428276062}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.7592532634735107},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6962606906890869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418175101280212},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5321879386901855},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5070071220397949},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4866367280483246},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4242745637893677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42295634746551514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3478354215621948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.203574538230896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15588903427124023},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0849420428276062},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/2846621","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2846621","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2846621.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c69438540a24870a051a3f17104a946","is_oa":true,"landing_page_url":"https://doaj.org/article/5c69438540a24870a051a3f17104a946","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/2846621","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2846621","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/2846621.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G5832019446","display_name":null,"funder_award_id":"PX-1620989","funder_id":"https://openalex.org/F4320325014","funder_display_name":"Xuchang University"},{"id":"https://openalex.org/G7594250908","display_name":null,"funder_award_id":"2017SJGLX441","funder_id":"https://openalex.org/F4320325014","funder_display_name":"Xuchang University"}],"funders":[{"id":"https://openalex.org/F4320325014","display_name":"Xuchang University","ror":"https://ror.org/03k174p87"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164925544.pdf","grobid_xml":"https://content.openalex.org/works/W3164925544.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2016154888","https://openalex.org/W2020510457","https://openalex.org/W2039802096","https://openalex.org/W2052607641","https://openalex.org/W2055567224","https://openalex.org/W2062028408","https://openalex.org/W2072026894","https://openalex.org/W2073167797","https://openalex.org/W2119046642","https://openalex.org/W2151930506","https://openalex.org/W2382529023","https://openalex.org/W2388117101","https://openalex.org/W3217135149"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Talent":[0],"is":[1,49,72,79,98,148,177,189,203],"the":[2,9,12,22,32,37,42,63,83,88,102,106,111,118,124,131,138,143,152,169,186,195,209],"best":[3,13],"group":[4,14],"in":[5,15,26,198,222],"human":[6,16],"resources,":[7,17],"and":[8,18,116,181,192,205,217,230,235],"Talents":[10],"are":[11,21],"English-speaking":[19],"talents":[20,44,69,90,113,133,146,160,228,244],"most":[23],"dynamic":[24],"factor":[25],"productivity.":[27],"In":[28],"order":[29],"to":[30,81,100,137,150],"improve":[31],"quantitative":[33,166],"analysis":[34,47,167],"ability":[35,234],"of":[36,62,67,87,105,110,130,140,154,158,172,226],"English":[38,43,68,89,112,132,145,159,227,243],"talent":[39],"aggregation":[40,45,70,91,114,134,147,161,220],"effect,":[41],"effect":[46,71,115,162,221],"model":[48,61],"proposed":[50,187],"based":[51],"on":[52],"large-scale":[53],"data":[54,66,86,109,127,156,174,219,225],"collection":[55,58],"technology.":[56],"The":[57,74,93,179,237],"information":[59,157],"flow":[60],"hotspot":[64,84,107,200,224,240],"big":[65,85,108,126,155,173,241],"constructed.":[73],"high-dimensional":[75],"feature":[76,141],"grouping":[77],"method":[78,97,188,213],"used":[80,99],"reconstruct":[82],"effect.":[92,135,246],"piecewise":[94],"linear":[95],"test":[96],"analyze":[101],"statistical":[103],"characteristics":[104],"extract":[117],"frequent":[119],"vector":[120],"set":[121],"which":[122,202],"reflects":[123],"hot":[125],"category":[128],"attribute":[129],"According":[136],"result":[139],"extraction,":[142],"fuzzy":[144],"processed":[149],"realize":[151],"fusion":[153],"hotspot.":[163],"Combined":[164],"with":[165],"method,":[168],"automatic":[170],"classification":[171],"association":[175],"rules":[176],"realized.":[178],"experimental":[180],"simulation":[182],"results":[183],"show":[184],"that":[185],"more":[190],"accurate":[191],"effective":[193],"than":[194,208],"traditional":[196,210],"methods":[197],"collecting":[199,223,233],"data,":[201],"26%":[204],"76%":[206],"higher":[207],"methods.":[211],"This":[212],"has":[214,231],"better":[215],"accuracy":[216],"improved":[218,239],"gathering":[229,245],"strong":[232],"characteristics.":[236],"research":[238],"data\u2019s":[242]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}