乐胖代购免代理版

{"id":"https://openalex.org/W2119477208","doi":"https://doi.org/10.1109/icdmw.2008.39","title":"Using Betweenness Centrality to Identify Manifold Shortcuts","display_name":"Using Betweenness Centrality to Identify Manifold Shortcuts","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2119477208","doi":"https://doi.org/10.1109/icdmw.2008.39","mag":"2119477208","pmid":"https://pubmed.ncbi.nlm.nih.gov/20607142","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/2895570"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2008.39","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://europepmc.org/articles/pmc2895570?pdf=render","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006167480","display_name":"William Cukierski","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William J. Cukierski","raw_affiliation_strings":["Rutgers University, Piscataway, NJ."],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ.","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089373018","display_name":"David J. Foran","orcid":"https://orcid.org/0000-0002-0090-0055"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Foran","raw_affiliation_strings":["Robert Wood Johnson Med. Sch., Univ. of Med. & Dentistry of New Jersey, NJ"],"affiliations":[{"raw_affiliation_string":"Robert Wood Johnson Med. Sch., Univ. of Med. & Dentistry of New Jersey, NJ","institution_ids":["https://openalex.org/I102322142"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":31,"citation_normalized_percentile":{"value":0.861379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"949","last_page":"958"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9822,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9822,"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/T10057","display_name":"Face and Expression Recognition","score":0.9788,"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9374,"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/manifold","display_name":"Manifold (fluid mechanics)","score":0.5475508}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.93142307},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.6779897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5568901},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5475508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40810928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35697013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2207866},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19351429},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1197882},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2008.39","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc2895570","pdf_url":"https://europepmc.org/articles/pmc2895570?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2895570","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20607142","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc2895570","pdf_url":"https://europepmc.org/articles/pmc2895570?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W119967642","https://openalex.org/W1568794265","https://openalex.org/W1672197616","https://openalex.org/W1818907527","https://openalex.org/W1994443280","https://openalex.org/W2001141328","https://openalex.org/W2003250141","https://openalex.org/W2093402979","https://openalex.org/W2095293504","https://openalex.org/W2156287497","https://openalex.org/W2162521231","https://openalex.org/W2163097311","https://openalex.org/W2171941690","https://openalex.org/W2294984095","https://openalex.org/W2799061466","https://openalex.org/W4205687621"],"related_works":["https://openalex.org/W4389076551","https://openalex.org/W4312461432","https://openalex.org/W2611574733","https://openalex.org/W2514739320","https://openalex.org/W2348831795","https://openalex.org/W2241641394","https://openalex.org/W2140653560","https://openalex.org/W2107855069","https://openalex.org/W2097992793","https://openalex.org/W1973509935"],"abstract_inverted_index":{"High-dimensional":[0],"data":[1,47,77],"presents":[2],"a":[3,39,82,95],"challenge":[4],"to":[5,42],"tasks":[6,24],"of":[7,59,81,112],"pattern":[8],"recognition":[9],"and":[10,21,89,120,134,141],"machine":[11],"learning.":[12],"Dimensionality":[13],"reduction":[14],"(DR)":[15],"methods":[16],"remove":[17],"the":[18,32,79,121,127,135],"unwanted":[19,53],"variance":[20],"make":[22],"these":[23],"tractable.":[25],"Several":[26],"nonlinear":[27],"DR":[28],"methods,":[29],"such":[30],"as":[31],"well":[33,68],"known":[34,69],"ISOMAP":[35,128],"algorithm,":[36],"rely":[37],"on":[38,100,139],"neighborhood":[40],"graph":[41,101,113],"compute":[43],"geodesic":[44],"distances":[45],"between":[46],"points.":[48],"These":[49],"graphs":[50],"can":[51,105],"contain":[52],"edges":[54],"which":[55,104],"connect":[56],"disparate":[57],"regions":[58],"one":[60],"or":[61],"more":[62],"manifolds.":[63],"This":[64,92],"topological":[65],"sensitivity":[66],"is":[67,118,124,132,137],"[1],":[70],"[2],":[71],"[3],":[72],"yet":[73],"handling":[74],"high-dimensional,":[75],"noisy":[76],"in":[78,115],"absence":[80],"priori":[83],"manifold":[84],"knowledge,":[85],"remains":[86],"an":[87],"open":[88],"difficult":[90],"problem.":[91],"work":[93],"introduces":[94],"divisive,":[96],"edge-removal":[97],"method":[98],"based":[99],"betweenness":[102],"centrality":[103],"robustly":[106],"identify":[107],"manifold-shorting":[108],"edges.":[109],"The":[110],"problem":[111],"construction":[114],"high":[116],"dimension":[117],"discussed":[119],"proposed":[122],"algorithm":[123],"fit":[125],"into":[126],"workflow.":[129],"ROC":[130],"analysis":[131],"performed":[133],"performance":[136],"tested":[138],"synthetic":[140],"real":[142],"datasets.":[143]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2119477208","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-01-09T10:09:33.968288","created_date":"2016-06-24"}