{"id":"https://openalex.org/W7125778677","doi":"https://doi.org/10.1145/3779153.3779162","title":"SlidingGLCMK-NN Classifier for Stream Learning.","display_name":"SlidingGLCMK-NN Classifier for Stream Learning.","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W7125778677","doi":"https://doi.org/10.1145/3779153.3779162"},"language":null,"primary_location":{"id":"doi:10.1145/3779153.3779162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779162","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3779153.3779162","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123920829","display_name":"Suja A Alex","orcid":null},"institutions":[{"id":"https://openalex.org/I906608882","display_name":"St Xavier\u2019s College","ror":"https://ror.org/039543c28","country_code":"IN","type":"education","lineage":["https://openalex.org/I906608882"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suja A Alex","raw_affiliation_strings":["Information Technology, St. Xavier\ufffd\ufffds Catholic College of Engineering,, Nagercoil, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0003-4429-6715","affiliations":[{"raw_affiliation_string":"Information Technology, St. Xavier\ufffd\ufffds Catholic College of Engineering,, Nagercoil, Tamil Nadu, India","institution_ids":["https://openalex.org/I906608882"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013788170","display_name":"Vania V. Estrela","orcid":"https://orcid.org/0000-0002-4465-7691"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vania Vieira Estrela","raw_affiliation_strings":["Department of Telecommunications, Federal Fluminense University (UFF),, Niteroi, Rio de Janeiro, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4465-7691","affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Federal Fluminense University (UFF),, Niteroi, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086582495","display_name":"Gabriel Caumo Vaz","orcid":"https://orcid.org/0000-0002-4566-1051"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Caumo Vaz","raw_affiliation_strings":["DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4566-1051","affiliations":[{"raw_affiliation_string":"DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123984528","display_name":"Yuzo Iano","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yuzo Iano","raw_affiliation_strings":["DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9843-9761","affiliations":[{"raw_affiliation_string":"DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123985819","display_name":"Gabriel Gomes de Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Gomes de Oliveira","raw_affiliation_strings":["PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7164-2068","affiliations":[{"raw_affiliation_string":"PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021874807","display_name":"\u00c2ngela Maria Alves","orcid":"https://orcid.org/0000-0002-6982-6690"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Angela Maria Alves","raw_affiliation_strings":["PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6982-6690","affiliations":[{"raw_affiliation_string":"PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65190574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9492999911308289,"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":0.9492999911308289,"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":0.013000000268220901,"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":0.008500000461935997,"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/classifier","display_name":"Classifier (UML)","score":0.7188000082969666},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6931999921798706},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5557000041007996},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4975999891757965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48969998955726624},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.4528999924659729},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4205999970436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745199978351593},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7188000082969666},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6931999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6463000178337097},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5557000041007996},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4975999891757965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4092999994754791},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.3686999976634979},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.3190000057220459},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3779153.3779162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779162","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3779153.3779162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779162","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5536795854568481,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W79331233","https://openalex.org/W79683066","https://openalex.org/W197852767","https://openalex.org/W203590926","https://openalex.org/W1582462167","https://openalex.org/W1766932551","https://openalex.org/W1824270332","https://openalex.org/W2068714596","https://openalex.org/W2099358357","https://openalex.org/W2114944618","https://openalex.org/W2134017119","https://openalex.org/W2146801187","https://openalex.org/W2167487311","https://openalex.org/W2239475530","https://openalex.org/W2484682751","https://openalex.org/W2491587584","https://openalex.org/W2604457090","https://openalex.org/W2739512903","https://openalex.org/W2762644836","https://openalex.org/W2768148617","https://openalex.org/W2777804614","https://openalex.org/W2805553949","https://openalex.org/W2898072413","https://openalex.org/W2911642618","https://openalex.org/W2913545708","https://openalex.org/W2914666594","https://openalex.org/W2917942747","https://openalex.org/W2934765450","https://openalex.org/W2965043453","https://openalex.org/W3094219804","https://openalex.org/W3196751543"],"related_works":[],"abstract_inverted_index":{"In":[0],"a":[1],"ubiquitous":[2],"city,":[3],"the":[4,13,23,31,49,102],"nexus":[5],"of":[6,15,55,108],"sensors":[7],"continuously":[8],"generates":[9],"voluminous":[10,50],"data,":[11],"and":[12,74],"number":[14],"internet-connected":[16],"devices":[17],"increases":[18],"haphazardly.":[19],"This":[20,37,65],"article":[21],"anchored":[22],"different":[24],"machine":[25,41],"learning":[26,42,58],"techniques":[27],"that":[28],"deal":[29],"with":[30,105],"challenges":[32,68],"presented":[33],"by":[34,101],"stream":[35,57,72,78,93],"data.":[36,51,79,94],"paper":[38,66],"surveyed":[39],"several":[40],"algorithms":[43],"for":[44],"extracting":[45],"higher-level":[46],"information":[47],"from":[48],"The":[52,95],"classification":[53,91],"accuracy":[54,107],"existing":[56],"methods":[59],"still":[60],"needs":[61],"to":[62,86],"be":[63],"improved.":[64],"explores":[67],"in":[69,77],"handling":[70],"large-length":[71],"data":[73],"feature":[75],"extraction":[76],"A":[80],"new":[81],"method":[82],"SlidingGLCMK-NN":[83],"was":[84,99],"proposed":[85,96],"perform":[87],"online":[88,97],"K-Nearest":[89],"Neighbor":[90],"over":[92],"classifier":[98],"validated":[100],"Hyperplane":[103],"dataset":[104],"an":[106],"89.31%.":[109]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-28T00:00:00"}
