{"id":"https://openalex.org/W2171262104","doi":"https://doi.org/10.4304/jnw.9.9.2556-2566","title":"An Auto-Matching Model with Pattern Recognition Using Bayesian Classifier for Parallel Programming on A Multi-Core Processor","display_name":"An Auto-Matching Model with Pattern Recognition Using Bayesian Classifier for Parallel Programming on A Multi-Core Processor","publication_year":2014,"publication_date":"2014-09-07","ids":{"openalex":"https://openalex.org/W2171262104","doi":"https://doi.org/10.4304/jnw.9.9.2556-2566","mag":"2171262104"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.9.9.2556-2566","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.9.9.2556-2566","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","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/A5051890749","display_name":"Kete Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kete Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714002","display_name":"Lisheng Wang","orcid":"https://orcid.org/0000-0003-3234-7511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lisheng Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059483341","display_name":"Xinkao Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinkao Liao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102165546","display_name":"George Albert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Albert","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051890749"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16790846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9991999864578247,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9318567514419556},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5999555587768555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.552923321723938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515735149383545},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5154927372932434},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.48213693499565125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4712204039096832},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4416612386703491},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43394750356674194},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.41340985894203186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39318639039993286},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.25569814443588257},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17691963911056519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9318567514419556},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5999555587768555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.552923321723938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515735149383545},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5154927372932434},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.48213693499565125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4712204039096832},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4416612386703491},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43394750356674194},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.41340985894203186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39318639039993286},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.25569814443588257},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17691963911056519},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.9.9.2556-2566","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.9.9.2556-2566","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1525741606","https://openalex.org/W1562010125","https://openalex.org/W1850405760","https://openalex.org/W1963588736","https://openalex.org/W1973195625","https://openalex.org/W1977997149","https://openalex.org/W1986609349","https://openalex.org/W1987452127","https://openalex.org/W1991023686","https://openalex.org/W1993941394","https://openalex.org/W1995038641","https://openalex.org/W1996180635","https://openalex.org/W1997683088","https://openalex.org/W2005148983","https://openalex.org/W2019295209","https://openalex.org/W2026311910","https://openalex.org/W2030688104","https://openalex.org/W2036355409","https://openalex.org/W2038664738","https://openalex.org/W2056568138","https://openalex.org/W2071598946","https://openalex.org/W2077117246","https://openalex.org/W2081730860","https://openalex.org/W2090002886","https://openalex.org/W2091775119","https://openalex.org/W2093833647","https://openalex.org/W2095664891","https://openalex.org/W2107951491","https://openalex.org/W2111686839","https://openalex.org/W2120485090","https://openalex.org/W2135570826","https://openalex.org/W2141251339","https://openalex.org/W2150364988","https://openalex.org/W2153858627","https://openalex.org/W2162544437","https://openalex.org/W2165432926","https://openalex.org/W2371093319","https://openalex.org/W4237609491","https://openalex.org/W6633535202","https://openalex.org/W6649498677","https://openalex.org/W6673946962","https://openalex.org/W6682555834"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2128523353","https://openalex.org/W2291648581","https://openalex.org/W2726838704","https://openalex.org/W4220802396","https://openalex.org/W2393473353","https://openalex.org/W2373790322","https://openalex.org/W2107644726","https://openalex.org/W2301690961"],"abstract_inverted_index":{"The":[0,57],"emerging":[1],"multi-core":[2],"processor":[3],"architecture":[4],"has":[5],"greatly":[6],"escalated":[7],"scientific":[8,126],"computing,":[9],"but,":[10],"at":[11],"the":[12,25,28,53,93,104,113,119],"same":[13],"time,":[14],"made":[15],"parallel":[16,58,77,116],"programming":[17,117],"increasingly":[18],"complex":[19],"and":[20,49,75,80,118,137],"challenging.":[21],"In":[22],"this":[23,128],"paper,":[24],"use":[26],"of":[27,52,115,121],"Auto":[29],"Parallel":[30,37],"Classification":[31],"(APC)":[32],"model":[33],"in":[34,101,112],"an":[35],"Object-Oriented":[36],"Model":[38],"(OOPModel)":[39],"environment":[40],"is":[41,88],"demonstrated.":[42],"A":[43],"designed":[44],"module":[45],"provides":[46],"a":[47,50,98,110],"traversal":[48],"reduction":[51,111],"DAG":[54],"task":[55],"graph.":[56],"characteristics":[59],"vectors,":[60],"which":[61],"are":[62,70],"analyzed":[63],"according":[64],"to":[65,96],"Naive":[66],"Bayesian":[67],"classification":[68],"theory,":[69],"critical":[71],"parameters":[72],"for":[73],"matching":[74],"generating":[76],"design":[78],"patterns":[79],"various":[81],"skeletal":[82],"frameworks.":[83],"Through":[84],"extensive":[85],"experimentation,":[86,127],"it":[87],"demonstrated,":[89],"that":[90,133],"by":[91],"using":[92],"Map-Reduce":[94],"pattern":[95],"develop":[97],"minimum-sort":[99],"algorithm,":[100],"conjunction":[102],"with":[103],"APC":[105],"model,":[106],"we":[107],"can":[108,142],"achieve":[109],"complexity":[114],"minimization":[120],"errors.":[122],"Most":[123],"importantly,":[124],"through":[125],"document":[129],"will":[130],"further":[131],"demonstrate":[132],"correct":[134],"computational":[135],"results":[136],"movements":[138],"toward":[139],"linear":[140],"speed-up":[141],"be":[143],"accomplished.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
