{"id":"https://openalex.org/W2998374300","doi":"https://doi.org/10.1109/iotsms48152.2019.8939225","title":"Experimental Study on Machine Learning with Approximation to Data Streams","display_name":"Experimental Study on Machine Learning with Approximation to Data Streams","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998374300","doi":"https://doi.org/10.1109/iotsms48152.2019.8939225","mag":"2998374300"},"language":"en","primary_location":{"id":"doi:10.1109/iotsms48152.2019.8939225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotsms48152.2019.8939225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-269521","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103659106","display_name":"Zhang Fu","orcid":"https://orcid.org/0009-0001-3190-5246"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Zhang Fu","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113397988","display_name":"Jiani Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jiani Jiang","raw_affiliation_strings":["Royal Institute of Technology (KTH), Sweden"],"affiliations":[{"raw_affiliation_string":"Royal Institute of Technology (KTH), Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103659106"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17567308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919000267982483,"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":0.8027836084365845},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7754369378089905},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6229535937309265},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5996449589729309},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5759751796722412},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5700621008872986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5504752397537231},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.4945051372051239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48208504915237427},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4315486252307892},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41476622223854065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2903991937637329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19345834851264954},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12493225932121277},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09865444898605347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027836084365845},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7754369378089905},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6229535937309265},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5996449589729309},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5759751796722412},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5700621008872986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5504752397537231},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.4945051372051239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48208504915237427},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4315486252307892},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41476622223854065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2903991937637329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19345834851264954},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12493225932121277},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09865444898605347},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iotsms48152.2019.8939225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotsms48152.2019.8939225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:kth-269521","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-269521","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Student thesis"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-269521","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-269521","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Student thesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W652265168","https://openalex.org/W1489608363","https://openalex.org/W1498436455","https://openalex.org/W1510763264","https://openalex.org/W1535736950","https://openalex.org/W1622676895","https://openalex.org/W1984261511","https://openalex.org/W1985258161","https://openalex.org/W1989037929","https://openalex.org/W1990653637","https://openalex.org/W2025299767","https://openalex.org/W2032263760","https://openalex.org/W2040294101","https://openalex.org/W2060108852","https://openalex.org/W2064675550","https://openalex.org/W2110704543","https://openalex.org/W2606213502","https://openalex.org/W2752885492","https://openalex.org/W2912174957","https://openalex.org/W2940894295","https://openalex.org/W2949117887","https://openalex.org/W2962883027"],"related_works":["https://openalex.org/W4214747436","https://openalex.org/W2110817230","https://openalex.org/W3091355678","https://openalex.org/W1606488336","https://openalex.org/W1988569331","https://openalex.org/W189995875","https://openalex.org/W4255193494","https://openalex.org/W2284958355","https://openalex.org/W2962894463","https://openalex.org/W4301487118"],"abstract_inverted_index":{"Realtime":[0],"transferring":[1],"of":[2,16,26,57,93,122,140],"data":[3,7,24,58,64,72,94,133,141],"streams":[4,28],"enables":[5],"many":[6],"analytics":[8],"and":[9,20,50,66,74,118],"machine":[10,98,124,148],"learning":[11,99,125,149],"applications":[12],"in":[13],"the":[14,38,44,55,80,91,97,104,109,112,119,138,147],"areas":[15],"e.g.":[17],"massive":[18],"IoT":[19],"industrial":[21],"automation.":[22],"Big":[23],"volume":[25],"those":[27],"is":[29,76],"a":[30,88],"significant":[31],"burden":[32],"or":[33],"overhead":[34],"not":[35],"only":[36],"to":[37,43,60,70,96],"transportation":[39],"network,":[40],"but":[41],"also":[42],"corresponding":[45,81],"application":[46],"servers.":[47],"Therefore,":[48],"researchers":[49],"scientists":[51],"focus":[52],"on":[53,79,90,146],"reducing":[54],"amount":[56,139],"needed":[59],"be":[61],"transferred":[62,142],"via":[63],"compressions":[65],"approximations.":[67],"However,":[68],"how":[69],"do":[71],"compression":[73,116],"approximation":[75,95,113,134],"highly":[77],"dependent":[78],"applications.":[82,100,150],"In":[83,101],"this":[84],"paper,":[85],"we":[86,107],"did":[87],"study":[89],"impact":[92,145],"particular,":[102],"from":[103],"experimental":[105],"perspective,":[106],"show":[108],"tradeoff":[110],"among":[111],"error":[114],"bound,":[115],"ratio":[117],"prediction":[120],"accuracy":[121],"multiple":[123],"methods.":[126],"We":[127],"believe":[128],"that,":[129],"with":[130,143],"proper":[131],"choice,":[132],"can":[135],"dramatically":[136],"reduce":[137],"limited":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}