{"id":"https://openalex.org/W1988355994","doi":"https://doi.org/10.1016/s0166-218x(98)00013-4","title":"Scale-sensitive dimensions and skeleton estimates for classification","display_name":"Scale-sensitive dimensions and skeleton estimates for classification","publication_year":1998,"publication_date":"1998-08-01","ids":{"openalex":"https://openalex.org/W1988355994","doi":"https://doi.org/10.1016/s0166-218x(98)00013-4","mag":"1988355994"},"language":"en","primary_location":{"id":"doi:10.1016/s0166-218x(98)00013-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0166-218x(98)00013-4","pdf_url":null,"source":{"id":"https://openalex.org/S171741597","display_name":"Discrete Applied Mathematics","issn_l":"0166-218X","issn":["0166-218X","1872-6771"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discrete Applied Mathematics","raw_type":"journal-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/A5037729295","display_name":"M\u00e1rta Horv\u00e1th","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]},{"id":"https://openalex.org/I4210161853","display_name":"Budapest Institute","ror":"https://ror.org/050hvq478","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210161853"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"M\u00e1rta Horv\u00e1th","raw_affiliation_strings":["Department of Mathematics and Computer Science, Technical University of Budapest, 1521 Stoczek u. 2, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Technical University of Budapest, 1521 Stoczek u. 2, Budapest, Hungary","institution_ids":["https://openalex.org/I4210161853","https://openalex.org/I106118109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034680608","display_name":"G\u00e1bor Lugosi","orcid":"https://orcid.org/0000-0003-1614-5901"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G\u00e1bor Lugosi","raw_affiliation_strings":["Department of Economics, Pompeu Fabra University, Rumon Trias Fargas, 25-27, 08005 Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Economics, Pompeu Fabra University, Rumon Trias Fargas, 25-27, 08005 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037729295"],"corresponding_institution_ids":["https://openalex.org/I106118109","https://openalex.org/I4210161853"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.1113478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"86","issue":"1","first_page":"37","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9884999990463257,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9873999953269958,"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/mathematics","display_name":"Mathematics","score":0.7570275664329529},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.7355715036392212},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6548996567726135},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6377178430557251},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6298048496246338},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5304529070854187},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5284640192985535},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48941388726234436},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47607842087745667},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47180309891700745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41632914543151855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723592162132263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.332591712474823},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26622962951660156},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2591620981693268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2125573456287384},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08711427450180054},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06139063835144043}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7570275664329529},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7355715036392212},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6548996567726135},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6377178430557251},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6298048496246338},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5304529070854187},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5284640192985535},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48941388726234436},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47607842087745667},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47180309891700745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41632914543151855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723592162132263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.332591712474823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26622962951660156},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2591620981693268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2125573456287384},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08711427450180054},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06139063835144043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/s0166-218x(98)00013-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0166-218x(98)00013-4","pdf_url":null,"source":{"id":"https://openalex.org/S171741597","display_name":"Discrete Applied Mathematics","issn_l":"0166-218X","issn":["0166-218X","1872-6771"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discrete Applied Mathematics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.144.9809","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.9809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.szit.bme.hu/~marti/publications/1.ps","raw_type":"text"},{"id":"pmh:oai:eprints.sztaki.hu:1729","is_oa":false,"landing_page_url":"http://eprints.sztaki.hu/1729/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W263881275","https://openalex.org/W1557383128","https://openalex.org/W1564947197","https://openalex.org/W1830670376","https://openalex.org/W1971361630","https://openalex.org/W1984876737","https://openalex.org/W1990064648","https://openalex.org/W1990217074","https://openalex.org/W2001488077","https://openalex.org/W2003680476","https://openalex.org/W2010029425","https://openalex.org/W2010531033","https://openalex.org/W2012400640","https://openalex.org/W2020114845","https://openalex.org/W2020771639","https://openalex.org/W2026548783","https://openalex.org/W2028461624","https://openalex.org/W2029538739","https://openalex.org/W2045888327","https://openalex.org/W2059811159","https://openalex.org/W2065861851","https://openalex.org/W2068124818","https://openalex.org/W2068589781","https://openalex.org/W2084544490","https://openalex.org/W2091846274","https://openalex.org/W2094062207","https://openalex.org/W2099579348","https://openalex.org/W2125053431","https://openalex.org/W2129192653","https://openalex.org/W2131043876","https://openalex.org/W2139018128","https://openalex.org/W2150434953","https://openalex.org/W2154952480","https://openalex.org/W2303608025","https://openalex.org/W2799061192","https://openalex.org/W4238284510","https://openalex.org/W4252305909","https://openalex.org/W6633258836","https://openalex.org/W6638683766","https://openalex.org/W6647619678","https://openalex.org/W6647728288","https://openalex.org/W6655520202","https://openalex.org/W6656964736","https://openalex.org/W6674981757","https://openalex.org/W7009870256"],"related_works":["https://openalex.org/W2946101226","https://openalex.org/W2887712106","https://openalex.org/W2112343299","https://openalex.org/W4221163188","https://openalex.org/W2345184372","https://openalex.org/W2091054003","https://openalex.org/W1964805666","https://openalex.org/W2386468718","https://openalex.org/W2348964713","https://openalex.org/W2120702419"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
