{"id":"https://openalex.org/W2762845439","doi":"https://doi.org/10.1504/ijict.2017.10008317","title":"Parallel topic model and its application on document clustering","display_name":"Parallel topic model and its application on document clustering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2762845439","doi":"https://doi.org/10.1504/ijict.2017.10008317","mag":"2762845439"},"language":"en","primary_location":{"id":"doi:10.1504/ijict.2017.10008317","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijict.2017.10008317","pdf_url":null,"source":{"id":"https://openalex.org/S168803321","display_name":"International Journal of Information and Communication Technology","issn_l":"1466-6642","issn":["1466-6642","1741-8070"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Communication Technology","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/A5012793332","display_name":"Kang An","orcid":"https://orcid.org/0000-0002-9498-5044"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang An","raw_affiliation_strings":["Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424673","display_name":"Lidong Wang","orcid":"https://orcid.org/0000-0003-4699-7937"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidong Wang","raw_affiliation_strings":["Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091077834","display_name":"Yuhuai Wang","orcid":"https://orcid.org/0000-0002-6376-8231"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhuai Wang","raw_affiliation_strings":["Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684798","display_name":"Shihua Cao","orcid":"https://orcid.org/0000-0002-9132-1189"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihua Cao","raw_affiliation_strings":["Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qianjiang College, Hangzhou Normal University, P.O. Box 456, No. 16 XueLin Street, Xiasha Advanced Education Park, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356849","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0003-4174-886X"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Zhejiang University of Media and Communications, Room 415, No. 1 Lab Buiding, No. 998 Xueyuan Street, Xiasha Advanced Education Park, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Media and Communications, Room 415, No. 1 Lab Buiding, No. 998 Xueyuan Street, Xiasha Advanced Education Park, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15178152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"4","first_page":"552","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9914000034332275,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9914000034332275,"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":0.9811000227928162,"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/T11106","display_name":"Data Management and Algorithms","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9151228666305542},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6734893321990967},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6352454423904419},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6106899380683899},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5671658515930176},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5252691507339478},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5252622961997986},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.43281543254852295},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4149352014064789},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38603198528289795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38359394669532776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33747705817222595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3373708724975586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22650417685508728},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10449978709220886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9151228666305542},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6734893321990967},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6352454423904419},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6106899380683899},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5671658515930176},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5252691507339478},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5252622961997986},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.43281543254852295},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4149352014064789},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38603198528289795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38359394669532776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33747705817222595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3373708724975586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22650417685508728},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10449978709220886},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijict.2017.10008317","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijict.2017.10008317","pdf_url":null,"source":{"id":"https://openalex.org/S168803321","display_name":"International Journal of Information and Communication Technology","issn_l":"1466-6642","issn":["1466-6642","1741-8070"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Communication Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W3146360815","https://openalex.org/W1795405792","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W4206655101","https://openalex.org/W52853789","https://openalex.org/W4237592971","https://openalex.org/W2387982377","https://openalex.org/W4322720815"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"PLDACOL,":[3],"our":[4,64],"parallel":[5],"implementation":[6],"on":[7,59,82],"LDACOL":[8,32],"model,":[9],"to":[10,69],"effectively":[11],"cluster":[12],"large-scale":[13,73],"documents.":[14],"Since":[15],"phrases":[16],"contain":[17],"more":[18],"semantic":[19],"information":[20],"than":[21],"the":[22,45,54,70],"sum":[23],"of":[24,72],"its":[25],"individual":[26],"word,":[27],"we":[28],"use":[29,37],"topic":[30],"model":[31],"for":[33,40],"phrase":[34],"discovery,":[35],"and":[36,78,85],"Gibbs":[38],"sampling":[39],"parameter":[41,51],"inference.":[42],"PLDACOL":[43,65],"overcomes":[44],"high":[46],"computation":[47],"time":[48],"cost":[49],"in":[50,75],"inference":[52],"by":[53],"distributed":[55],"computing":[56],"framework":[57],"based":[58],"Hadoop.":[60],"We":[61],"show":[62],"that":[63],"can":[66],"be":[67],"applied":[68],"clustering":[71],"documents":[74],"different":[76],"size":[77],"produces":[79],"significant":[80],"improvements":[81],"both":[83],"effectiveness":[84],"efficiency":[86],"compared":[87],"with":[88],"other":[89],"related":[90],"traditional":[91],"algorithms.":[92]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
