{"id":"https://openalex.org/W3037371133","doi":"https://doi.org/10.1109/eais48028.2020.9122752","title":"Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems","display_name":"Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3037371133","doi":"https://doi.org/10.1109/eais48028.2020.9122752","mag":"3037371133"},"language":"en","primary_location":{"id":"doi:10.1109/eais48028.2020.9122752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais48028.2020.9122752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","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/A5075765273","display_name":"Choiru Za\u2019in","orcid":"https://orcid.org/0000-0001-8012-7340"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Choiru Za\u2019in","raw_affiliation_strings":["La Trobe University,Department of Comp. Sci. and IT,Melbourne,Australia","Department of Comp. Sci. and IT, La Trobe University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Comp. Sci. and IT,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Department of Comp. Sci. and IT, La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022785715","display_name":"Andri Ashfahani","orcid":"https://orcid.org/0000-0002-7126-4412"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Andri Ashfahani","raw_affiliation_strings":["Nanyang Technological University,School of Comp. Sci. and Eng.,Singapore,Singapore","School of Comp. Sci. and Eng., Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Comp. Sci. and Eng.,Singapore,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Comp. Sci. and Eng., Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["Nanyang Technological University,School of Comp. Sci. and Eng.,Singapore,Singapore","School of Comp. Sci. and Eng., Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Comp. Sci. and Eng.,Singapore,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Comp. Sci. and Eng., Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Johannes Kepler University,Department of Knowledge-Based Mathematical Systems,Linz,Austria","Department of Knowledge-Based Mathematical Systems, Johannes Kepler University, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Kepler University,Department of Knowledge-Based Mathematical Systems,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Department of Knowledge-Based Mathematical Systems, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048148236","display_name":"Eric Pardede","orcid":"https://orcid.org/0000-0001-8218-2343"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eric Pardede","raw_affiliation_strings":["La Trobe University,Department of Comp. Sci. and IT,Melbourne,Australia","Department of Comp. Sci. and IT, La Trobe University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Comp. Sci. and IT,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Department of Comp. Sci. and IT, La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9890000224113464,"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":0.8357501029968262},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8309282064437866},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.7059188485145569},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6570613384246826},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5663368701934814},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5596080422401428},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5308229327201843},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4733286499977112},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44257014989852905},{"id":"https://openalex.org/keywords/reset","display_name":"Reset (finance)","score":0.4108947813510895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1944712996482849},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12384167313575745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357501029968262},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8309282064437866},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.7059188485145569},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6570613384246826},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5663368701934814},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5596080422401428},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5308229327201843},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4733286499977112},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44257014989852905},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.4108947813510895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1944712996482849},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12384167313575745},{"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/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais48028.2020.9122752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais48028.2020.9122752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W992687842","https://openalex.org/W1537430301","https://openalex.org/W1747560487","https://openalex.org/W2016159616","https://openalex.org/W2019150658","https://openalex.org/W2052345845","https://openalex.org/W2057974719","https://openalex.org/W2093323445","https://openalex.org/W2093768254","https://openalex.org/W2097178527","https://openalex.org/W2099419573","https://openalex.org/W2104156897","https://openalex.org/W2125621954","https://openalex.org/W2151863350","https://openalex.org/W2157355837","https://openalex.org/W2159128662","https://openalex.org/W2167287136","https://openalex.org/W2189465200","https://openalex.org/W2244109919","https://openalex.org/W2293050121","https://openalex.org/W2432436793","https://openalex.org/W2585528949","https://openalex.org/W2741245217","https://openalex.org/W2887879990","https://openalex.org/W2898036135","https://openalex.org/W2919115771","https://openalex.org/W2964217848","https://openalex.org/W2964337638","https://openalex.org/W2969219550","https://openalex.org/W2971808011","https://openalex.org/W2982207148","https://openalex.org/W2985858936","https://openalex.org/W2986043108","https://openalex.org/W2989279711","https://openalex.org/W3004084553","https://openalex.org/W3007134847","https://openalex.org/W3106527983","https://openalex.org/W3120740533","https://openalex.org/W6673754580","https://openalex.org/W6687322159","https://openalex.org/W6753960538","https://openalex.org/W6769027158"],"related_works":["https://openalex.org/W350273603","https://openalex.org/W2393495588","https://openalex.org/W96259911","https://openalex.org/W2168225754","https://openalex.org/W4385608460","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"Large-scale":[0],"data":[1,55,100],"streams":[2],"remains":[3],"an":[4,59,86],"open":[5],"issue":[6],"in":[7,94,103,157],"the":[8,21,43,52,63,91,95,99,104,113,124,132,137,145,160],"existing":[9],"literature.":[10],"It":[11,109],"features":[12,123],"a":[13,24,118],"never":[14],"ending":[15],"information":[16],"flow,":[17],"mostly":[18],"going":[19],"beyond":[20],"capacity":[22],"of":[23,31,54,131,148,159],"single":[25],"processing":[26],"node.":[27],"Nonetheless,":[28],"algorithmic":[29],"development":[30],"large-scale":[32],"streaming":[33,73],"algorithms":[34],"under":[35],"distributed":[36],"platforms":[37],"faces":[38],"major":[39],"challenge":[40],"due":[41],"to":[42,58,89,164],"scalability":[44],"issue.":[45],"The":[46],"network":[47],"complexity":[48],"exponentially":[49],"grows":[50],"with":[51],"increase":[53],"batches,":[56],"leading":[57],"accuracy":[60,150],"loss":[61],"if":[62],"model":[64,126,139],"fusion":[65,127],"phase":[66],"is":[67,81,110],"not":[68],"properly":[69],"designed.":[70],"A":[71],"largescale":[72],"algorithm,":[74],"namely":[75],"Scalable":[76],"Teacher":[77],"Forcing":[78],"Network":[79],"(ScatterNet),":[80],"proposed":[82],"here.":[83],"ScatterNet":[84,122,152],"has":[85],"elastic":[87],"structure":[88],"handle":[90],"concept":[92,116],"drift":[93],"local":[96],"scale":[97,106],"within":[98],"batch":[101],"or":[102],"global":[105],"across":[107],"batches.":[108],"built":[111],"upon":[112],"teacher":[114],"forcing":[115],"providing":[117],"short-term":[119],"memory":[120],"aptitude.":[121],"data-free":[125],"approach":[128],"which":[129],"consists":[130],"zero-shot":[133],"merging":[134],"mechanism":[135],"and":[136],"online":[138],"selection.":[140],"Our":[141],"numerical":[142],"study":[143],"demonstrates":[144],"moderate":[146],"improvement":[147],"prediction":[149],"by":[151],"while":[153],"gaining":[154],"competitive":[155],"advantage":[156],"terms":[158],"execution":[161],"time":[162],"compared":[163],"its":[165],"counterpart.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-07-02T00:00:00"}
