{"id":"https://openalex.org/W2200491676","doi":"https://doi.org/10.1109/bigdata.2015.7364010","title":"Efficient change detection for high dimensional data streams","display_name":"Efficient change detection for high dimensional data streams","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2200491676","doi":"https://doi.org/10.1109/bigdata.2015.7364010","mag":"2200491676"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7364010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5085640042","display_name":"Spiros V. Georgakopoulos","orcid":"https://orcid.org/0000-0002-3374-0422"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Spiros V. Georgakopoulos","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039205111","display_name":"Sotiris K. Tasoulis","orcid":"https://orcid.org/0000-0001-9536-4090"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sotiris K. Tasoulis","raw_affiliation_strings":["Department of Applied Mathematics, Liverpool John Moores University, Liverpool, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111235416","display_name":"Vassilis P. Plagianakos","orcid":"https://orcid.org/0000-0002-4266-701X"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilis P. Plagianakos","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085640042"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":0.8932,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83340505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2219","last_page":"2222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9886999726295471,"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":0.9886999726295471,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9700999855995178,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9700999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8365883827209473},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6222869753837585},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6008906960487366},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.59470134973526},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.5113806128501892},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5110145807266235},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46028250455856323},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4365629255771637},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4314650893211365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27381497621536255},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20941820740699768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.174281507730484},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1488024890422821},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1315394937992096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365883827209473},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6222869753837585},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6008906960487366},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.59470134973526},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.5113806128501892},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5110145807266235},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46028250455856323},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4365629255771637},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4314650893211365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27381497621536255},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20941820740699768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.174281507730484},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1488024890422821},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1315394937992096}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2015.7364010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/72071","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/72071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W181059194","https://openalex.org/W640563208","https://openalex.org/W761318435","https://openalex.org/W1970693311","https://openalex.org/W2044445916","https://openalex.org/W2050583479","https://openalex.org/W2051903196","https://openalex.org/W2131329059","https://openalex.org/W2141681031","https://openalex.org/W2173636902","https://openalex.org/W2219995598","https://openalex.org/W4240477358","https://openalex.org/W4249116379"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2048100608","https://openalex.org/W2090296580","https://openalex.org/W1576249345","https://openalex.org/W4243905374","https://openalex.org/W2785815065","https://openalex.org/W1796074903","https://openalex.org/W4245955065"],"abstract_inverted_index":{"The":[0,87],"recent":[1],"technological":[2],"advancements":[3],"in":[4,10,16,98],"cloud":[5],"computing":[6],"and":[7,83,94],"the":[8,18,37,64],"access":[9],"increasing":[11],"computational":[12],"power":[13],"has":[14,40],"led":[15],"undertaking":[17],"data":[19,29],"processing":[20,44],"derived":[21],"by":[22],"mobile":[23,38],"devices.":[24],"In":[25,71],"particular,":[26],"when":[27],"these":[28],"are":[30],"high":[31],"dimensional":[32],"this":[33,72],"is":[34],"indispensable,":[35],"since":[36],"device":[39],"to":[41,46,59],"balance":[42],"its":[43,91,96],"functionalities":[45],"additional":[47],"services.":[48],"However,":[49],"developing":[50],"efficient":[51],"algorithms":[52],"could":[53],"allow":[54],"various":[55],"types":[56],"of":[57,66],"analysis":[58],"be":[60],"performed":[61],"locally,":[62],"avoiding":[63],"necessity":[65],"a":[67,76],"constantly":[68],"connected":[69],"device.":[70],"work,":[73],"we":[74],"present":[75],"methodology":[77],"that":[78],"combines":[79],"lightweight":[80],"dimensionality":[81],"reduction":[82],"change":[84],"detection":[85],"techniques.":[86],"experimental":[88],"results":[89],"justify":[90],"impressive":[92],"performance":[93],"subsequently":[95],"usefulness":[97],"several":[99],"tasks.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}