{"id":"https://openalex.org/W2914799454","doi":"https://doi.org/10.1109/bigdata.2018.8621957","title":"Mining top-k Popular Datasets via a Deep Generative Model","display_name":"Mining top-k Popular Datasets via a Deep Generative Model","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914799454","doi":"https://doi.org/10.1109/bigdata.2018.8621957","mag":"2914799454"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8621957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010631591","display_name":"Uchenna Akujuobi","orcid":"https://orcid.org/0000-0002-7102-7994"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Uchenna Akujuobi","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068048142","display_name":"Ke Sun","orcid":"https://orcid.org/0000-0001-6263-7355"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ke Sun","raw_affiliation_strings":["Data61, CSIRO, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8013061285018921},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.675247848033905},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5954164862632751},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.586500883102417},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5660862326622009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597366094589233},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5094478726387024},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5037745833396912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4612938165664673},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44122692942619324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.426216185092926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39925020933151245},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12395182251930237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013061285018921},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.675247848033905},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5954164862632751},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.586500883102417},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5660862326622009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597366094589233},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5094478726387024},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5037745833396912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4612938165664673},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44122692942619324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.426216185092926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39925020933151245},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12395182251930237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2018.8621957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/631711","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/631711","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W121745055","https://openalex.org/W179183578","https://openalex.org/W830076066","https://openalex.org/W1481632895","https://openalex.org/W1548361610","https://openalex.org/W1576514601","https://openalex.org/W1630959083","https://openalex.org/W1993591232","https://openalex.org/W2048653843","https://openalex.org/W2052684427","https://openalex.org/W2064794832","https://openalex.org/W2097998348","https://openalex.org/W2098162425","https://openalex.org/W2108501770","https://openalex.org/W2135827982","https://openalex.org/W2137255856","https://openalex.org/W2149288670","https://openalex.org/W2153959628","https://openalex.org/W2154455818","https://openalex.org/W2167955381","https://openalex.org/W2311607323","https://openalex.org/W2519887557","https://openalex.org/W2735265293","https://openalex.org/W2768210308","https://openalex.org/W2806351858","https://openalex.org/W2950723285","https://openalex.org/W2952229419","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963043971","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W3140910462","https://openalex.org/W4294558607","https://openalex.org/W4297951436","https://openalex.org/W6604866004","https://openalex.org/W6623329352","https://openalex.org/W6628693027","https://openalex.org/W6636599907","https://openalex.org/W6674385629","https://openalex.org/W6675944832","https://openalex.org/W6682494755","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6740681208","https://openalex.org/W6792614579"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"Finding":[0],"popular":[1,23],"datasets":[2,24,113],"to":[3,107],"work":[4],"on":[5,17,42,89],"is":[6],"essential":[7],"for":[8,77],"data-driven":[9],"research":[10],"domains.":[11],"In":[12],"this":[13,40],"paper,":[14],"we":[15,70],"focus":[16],"the":[18,62,81,104,109],"problem":[19,41,63],"of":[20,53],"extracting":[21],"top-k":[22,110],"that":[25,94],"have":[26],"been":[27],"used":[28],"in":[29,114],"data":[30],"mining,":[31],"machine":[32],"learning,":[33],"and":[34,56,84,117],"artificial":[35],"intelligence":[36],"fields.":[37],"We":[38,101],"solve":[39],"an":[43,72],"attributed":[44],"citation":[45,58,85],"network,":[46],"which":[47],"includes":[48],"node":[49],"content":[50,83],"information":[51],"(text":[52],"published":[54],"papers)":[55],"paper":[57],"relations.":[59,86],"By":[60],"formulating":[61],"as":[64],"a":[65,90],"semi-supervised":[66],"multi-label":[67],"classification":[68],"one,":[69],"develop":[71],"efficient":[73],"deep":[74],"generative":[75],"model":[76,97,105],"learning":[78],"from":[79],"both":[80],"document":[82],"The":[87],"evaluation":[88],"real-world":[91],"dataset":[92],"shows":[93],"our":[95],"proposed":[96],"outperforms":[98],"baseline":[99],"methods.":[100],"then":[102],"apply":[103],"further":[106],"reveal":[108],"frequently":[111],"cited":[112],"selected":[115],"areas":[116],"report":[118],"interesting":[119],"findings.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
