{"id":"https://openalex.org/W2004656598","doi":"https://doi.org/10.1145/1995412.1995430","title":"A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers","display_name":"A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers","publication_year":2011,"publication_date":"2011-06-30","ids":{"openalex":"https://openalex.org/W2004656598","doi":"https://doi.org/10.1145/1995412.1995430","mag":"2004656598"},"language":"en","primary_location":{"id":"doi:10.1145/1995412.1995430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1995412.1995430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on SImilarity Search and APplications","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/A5043003448","display_name":"Stefanos Ougiaroglou","orcid":"https://orcid.org/0000-0003-1094-2520"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Stefanos Ougiaroglou","raw_affiliation_strings":["University of Macedonia, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"University of Macedonia, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089769845","display_name":"Georgios Evangelidis","orcid":"https://orcid.org/0000-0003-1639-2152"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Evangelidis","raw_affiliation_strings":["University of Macedonia, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"University of Macedonia, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032970498","display_name":"Dimitris A. Dervos","orcid":"https://orcid.org/0000-0002-5441-0086"},"institutions":[{"id":"https://openalex.org/I77990126","display_name":"Alexander Technological Educational Institute of Thessaloniki","ror":"https://ror.org/04h36ea57","country_code":"GR","type":"education","lineage":["https://openalex.org/I77990126"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris A. Dervos","raw_affiliation_strings":["Alexander T. E. I. of Thessaloniki, Sindos, Greece"],"affiliations":[{"raw_affiliation_string":"Alexander T. E. I. of Thessaloniki, Sindos, Greece","institution_ids":["https://openalex.org/I77990126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043003448"],"corresponding_institution_ids":["https://openalex.org/I192756129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0785126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T12535","display_name":"Machine Learning and Data Classification","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/T12761","display_name":"Data Stream Mining Techniques","score":0.9966999888420105,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519029974937439},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7110739946365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552646279335022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5171043872833252},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5117971301078796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4245380163192749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.328497052192688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3204609155654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519029974937439},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7110739946365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552646279335022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5171043872833252},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5117971301078796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4245380163192749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328497052192688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3204609155654907}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1995412.1995430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1995412.1995430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on SImilarity Search and APplications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1541459201","https://openalex.org/W1610836425","https://openalex.org/W1689445748","https://openalex.org/W1967001541","https://openalex.org/W1972640883","https://openalex.org/W1990111898","https://openalex.org/W2014712792","https://openalex.org/W2058458206","https://openalex.org/W2066799613","https://openalex.org/W2084134149","https://openalex.org/W2097921974","https://openalex.org/W2118269922","https://openalex.org/W2122496402","https://openalex.org/W2140190241","https://openalex.org/W3017143921","https://openalex.org/W4301769880","https://openalex.org/W6680704940","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W3213683101","https://openalex.org/W3035095237","https://openalex.org/W3186233728","https://openalex.org/W4200459988","https://openalex.org/W4361733776","https://openalex.org/W4281776617","https://openalex.org/W3020897463","https://openalex.org/W4319005243","https://openalex.org/W4398756457"],"abstract_inverted_index":{"Some":[0],"of":[1,14,19,26,100],"the":[2,10,15,24,36,47,68,85,89,98,116],"most":[3],"commonly":[4],"used":[5,44],"classifiers":[6,32],"are":[7,33],"based":[8],"on":[9],"retrieval":[11],"and":[12,77,88],"examination":[13],"k":[16],"Nearest":[17],"Neighbors":[18],"unclassified":[20],"instances.":[21],"However,":[22],"since":[23],"size":[25],"datasets":[27],"can":[28,119],"be":[29,120],"large,":[30],"these":[31],"inapplicable":[34],"when":[35],"time-costly":[37],"sequential":[38],"search":[39],"over":[40],"all":[41],"instances":[42],"is":[43,53,81],"to":[45],"find":[46],"neighbors.":[48],"The":[49,92,111],"Minimum":[50,86],"Distance":[51,87],"Classifier":[52],"a":[54,74,108],"very":[55],"fast":[56],"classification":[57,65,79,105],"approach":[58,118],"but":[59],"it":[60],"usually":[61],"achieves":[62],"much":[63],"lower":[64],"accuracy":[66,106],"than":[67],"k-NN":[69,90],"classifier.":[70],"In":[71],"this":[72],"paper,":[73],"fast,":[75],"hybrid":[76],"model-free":[78],"algorithm":[80,94],"introduced":[82],"that":[83,115],"combines":[84],"classifiers.":[91],"proposed":[93,117],"aims":[95],"at":[96,107],"maximizing":[97],"reduction":[99],"computational":[101],"cost,":[102],"by":[103],"keeping":[104],"high":[109],"level.":[110],"experimental":[112],"results":[113],"illustrate":[114],"applicable":[121],"in":[122],"dynamic,":[123],"time-constrained":[124],"environments.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
