{"id":"https://openalex.org/W2963104750","doi":"https://doi.org/10.4018/ijaci.2019070102","title":"Web Text Categorization Based on Statistical Merging Algorithm in Big Data Environment","display_name":"Web Text Categorization Based on Statistical Merging Algorithm in Big Data Environment","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2963104750","doi":"https://doi.org/10.4018/ijaci.2019070102","mag":"2963104750"},"language":"en","primary_location":{"id":"doi:10.4018/ijaci.2019070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2019070102","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-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/A5054548418","display_name":"Rujuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rujuan Wang","raw_affiliation_strings":["College of Humanities & Sciences of Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Humanities & Sciences of Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367403","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-7266-2412"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":2.5414,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91827247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"17","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9771000146865845,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9538000226020813,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.861149251461029},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5747171640396118},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5609846115112305},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5442455410957336},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.526150643825531},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5216955542564392},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4955188035964966},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4762727618217468},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4649195969104767},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43586355447769165},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4191173315048218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3820122182369232},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.3523974120616913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.861149251461029},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5747171640396118},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5609846115112305},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5442455410957336},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.526150643825531},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5216955542564392},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4955188035964966},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4762727618217468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4649195969104767},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43586355447769165},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4191173315048218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3820122182369232},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3523974120616913},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijaci.2019070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2019070102","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jaci00:v:10:y:2019:i:3:p:17-32","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2019070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W125428541","https://openalex.org/W175877349","https://openalex.org/W1971694273","https://openalex.org/W2000071210","https://openalex.org/W2024031808","https://openalex.org/W2050715692","https://openalex.org/W2061034685","https://openalex.org/W2089757006","https://openalex.org/W2138229992","https://openalex.org/W2144211451","https://openalex.org/W2152632881","https://openalex.org/W2315535184","https://openalex.org/W2349657479","https://openalex.org/W2352013125","https://openalex.org/W2373699003","https://openalex.org/W2382176842","https://openalex.org/W2565040778","https://openalex.org/W2610935890","https://openalex.org/W2748667071","https://openalex.org/W2757794658","https://openalex.org/W2796890702","https://openalex.org/W3003271595","https://openalex.org/W3004303870","https://openalex.org/W3004836084","https://openalex.org/W3090556797","https://openalex.org/W3147849031"],"related_works":["https://openalex.org/W2047139419","https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2035261173","https://openalex.org/W2138922887","https://openalex.org/W2125109223","https://openalex.org/W2383063829","https://openalex.org/W2952668426"],"abstract_inverted_index":{"In":[0,28],"the":[1,21,43,66,70,73,78,82,85,88,91,96,102,109,132,136,141,146,154],"field":[2],"of":[3,23,48,77,93,111,113,135,148,159],"modern":[4],"information":[5,10,134,158],"technology,":[6],"how":[7],"to":[8,69,81,152],"find":[9],"quickly,":[11],"accurately":[12],"and":[13,45,90,95,116],"comprehensively":[14],"that":[15],"users":[16],"really":[17],"needed":[18],"has":[19,162],"become":[20],"focus":[22],"research":[24],"in":[25,65,72,87,140],"this":[26,29],"field.":[27],"article,":[30],"a":[31,37,60,117,163],"feature":[32,138,161],"selection":[33],"method":[34,105,120,128],"based":[35,121],"on":[36,122],"complex":[38,61],"network":[39,67,79],"is":[40,57,106,125],"proposed":[41],"for":[42,167],"structure":[44],"content":[46],"characteristics":[47],"large-scale":[49],"web":[50,55],"text":[51,56,103,118,137,169],"information.":[52],"The":[53,63,75,156],"preprocessed":[54],"converted":[58],"into":[59],"network.":[62],"nodes":[64,94],"correspond":[68,80],"entries":[71,86],"text.":[74,155],"edges":[76],"links":[83],"between":[84],"text,":[89],"degree":[92],"aggregation":[97],"system":[98],"are":[99],"used.":[100],"Second,":[101],"classification":[104,119,142,165],"studied":[107],"from":[108],"point":[110],"view":[112],"data":[114],"sampling,":[115],"density":[123,133],"statistics":[124],"proposed.":[126],"This":[127],"uses":[129],"not":[130],"only":[131],"set":[139],"process,":[143],"but":[144],"also":[145],"use":[147],"statistical":[149],"merging":[150],"criteria":[151],"get":[153],"difference":[157],"each":[160],"better":[164],"effect":[166],"large":[168],"collections.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":13}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
