{"id":"https://openalex.org/W3215046483","doi":"https://doi.org/10.1155/2021/7191567","title":"Key Technologies of Media Data In-Depth Analysis System Based on Artificial Intelligence-Based Big Data","display_name":"Key Technologies of Media Data In-Depth Analysis System Based on Artificial Intelligence-Based Big Data","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W3215046483","doi":"https://doi.org/10.1155/2021/7191567","mag":"3215046483"},"language":"en","primary_location":{"id":"doi:10.1155/2021/7191567","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7191567","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/7191567.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","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/misy/2021/7191567.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101873384","display_name":"Yi Zheng","orcid":"https://orcid.org/0000-0001-5975-9677"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zheng","raw_affiliation_strings":["Research Center for Intelligent Engineering and Educational Application, Beijing Normal University, Zhuhai 519085, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent Engineering and Educational Application, Beijing Normal University, Zhuhai 519085, Guangdong, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101873384"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.5439,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73500876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.9980000257492065,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.9980000257492065,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8545651435852051},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.830634355545044},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5520914196968079},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.47654181718826294},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4666236639022827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46089261770248413},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42034652829170227},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.397093802690506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36463791131973267},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08876389265060425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545651435852051},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.830634355545044},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5520914196968079},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.47654181718826294},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4666236639022827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46089261770248413},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42034652829170227},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.397093802690506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36463791131973267},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08876389265060425},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/7191567","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7191567","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/7191567.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c2998eedbcdb40658aea0e3f58a49fe7","is_oa":true,"landing_page_url":"https://doaj.org/article/c2998eedbcdb40658aea0e3f58a49fe7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/7191567","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7191567","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/7191567.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3215046483.pdf","grobid_xml":"https://content.openalex.org/works/W3215046483.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W34309037","https://openalex.org/W2027929601","https://openalex.org/W2279520073","https://openalex.org/W2526355008","https://openalex.org/W2584883659","https://openalex.org/W2602923095","https://openalex.org/W2604186734","https://openalex.org/W2624147939","https://openalex.org/W2640557513","https://openalex.org/W2664267452","https://openalex.org/W2738724892","https://openalex.org/W2751164687","https://openalex.org/W2767031189","https://openalex.org/W2770717476","https://openalex.org/W2775570075","https://openalex.org/W2777786352","https://openalex.org/W2781788077","https://openalex.org/W2786141192","https://openalex.org/W2790169445","https://openalex.org/W2807593075","https://openalex.org/W2884212328","https://openalex.org/W2973372467","https://openalex.org/W2986530560","https://openalex.org/W3029229341","https://openalex.org/W3103211661","https://openalex.org/W4391294979"],"related_works":["https://openalex.org/W4245701730","https://openalex.org/W2511794504","https://openalex.org/W2911648135","https://openalex.org/W2886451445","https://openalex.org/W3108449883","https://openalex.org/W2551093110","https://openalex.org/W4372291825","https://openalex.org/W3212453887","https://openalex.org/W3121545709","https://openalex.org/W2567328750"],"abstract_inverted_index":{"At":[0],"present,":[1],"big":[2,13,19,46,139],"data":[3,14,20,47,59,87,132,140,166],"related":[4],"technologies":[5],"are":[6],"developing":[7],"rapidly,":[8],"and":[9,32,62,85,110,133,179,198,203,206],"major":[10],"companies":[11],"provide":[12],"analysis":[15,21,48,60,65,141,171],"services.":[16],"However,":[17],"the":[18,25,45,54,58,67,92,98,115,128,147,154,170,174,186,195,207],"system":[22,61],"formed":[23],"by":[24,107,185,201],"combination":[26],"method":[27,193],"cannot":[28],"sense":[29],"each":[30],"other":[31,116,145],"lacks":[33],"cooperation,":[34],"resulting":[35],"in":[36,44,136,150],"a":[37,73],"certain":[38],"amount":[39],"of":[40,42,57,66,100,130,156,173,211],"waste":[41],"resources":[43],"system.":[49],"In":[50,168],"order":[51],"to":[52,81],"find":[53],"key":[55],"technology":[56],"conduct":[63],"in-depth":[64],"media":[68,123,131,165],"data,":[69,124],"this":[70,125,151],"paper":[71,152],"proposes":[72],"scheduling":[74,84],"algorithm":[75,148],"based":[76],"on":[77,120],"artificial":[78],"intelligence":[79],"(AI)":[80],"implement":[82],"task":[83],"logical":[86],"block":[88],"migration.":[89],"By":[90],"analyzing":[91],"experimental":[93],"results,":[94],"we":[95],"know":[96],"that":[97],"performance":[99],"LAS":[101],"(Logistic-Block":[102],"Affinity":[103],"Scheduler)":[104],"is":[105,214],"improved":[106],"23.97%,":[108],"16.11%,":[109],"10.56%,":[111],"respectively,":[112,205],"compared":[113],"with":[114,144],"three":[117],"algorithms.":[118],"Based":[119],"real":[121],"new":[122],"article":[126],"analyzes":[127],"content":[129],"user":[134],"behavior":[135],"depth":[137],"through":[138],"methods.":[142],"Compared":[143],"methods,":[146],"model":[149],"optimizes":[153],"accuracy":[155],"hot":[157,180],"topic":[158,181],"extraction,":[159],"which":[160],"has":[161],"important":[162],"implications":[163],"for":[164],"mining.":[167],"addition,":[169],"results":[172],"emotional":[175,212],"characteristics,":[176,178],"audience":[177],"communication":[182],"characteristics":[183],"obtained":[184],"research":[187],"also":[188],"have":[189],"practical":[190],"value.":[191],"This":[192],"improves":[194],"recall":[196],"rate":[197],"F":[199,209],"value":[200,210],"5%":[202],"4.7%,":[204],"overall":[208],"judgment":[213],"about":[215],"88.9%.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
