{"id":"https://openalex.org/W2111537239","doi":"https://doi.org/10.1145/1102256.1102322","title":"Method trees","display_name":"Method trees","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2111537239","doi":"https://doi.org/10.1145/1102256.1102322","mag":"2111537239"},"language":"en","primary_location":{"id":"doi:10.1145/1102256.1102322","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop on Genetic and evolutionary computation","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/A5087498721","display_name":"Ingo Mierswa","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ingo Mierswa","raw_affiliation_strings":["University of Dortmund"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dortmund","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065328227","display_name":"Katharina Morik","orcid":"https://orcid.org/0000-0003-1153-5986"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katharina Morik","raw_affiliation_strings":["University of Dortmund"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dortmund","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13666537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9980999827384949,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9980999827384949,"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/T11309","display_name":"Music and Audio Processing","score":0.9948999881744385,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9700999855995178,"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":0.8181028366088867},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.703198254108429},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6430613994598389},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6371269226074219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120642423629761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4870021939277649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42697107791900635},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42027682065963745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40893471240997314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181028366088867},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.703198254108429},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6430613994598389},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6371269226074219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120642423629761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4870021939277649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42697107791900635},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42027682065963745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40893471240997314}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1102256.1102322","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W59186300","https://openalex.org/W1539266554","https://openalex.org/W1540550673","https://openalex.org/W1545046063","https://openalex.org/W1549386224","https://openalex.org/W1576818901","https://openalex.org/W1604792744","https://openalex.org/W1835965142","https://openalex.org/W1864972570","https://openalex.org/W2027518030","https://openalex.org/W2047221353","https://openalex.org/W2053156826","https://openalex.org/W2057613716","https://openalex.org/W2058097301","https://openalex.org/W2061171222","https://openalex.org/W2089258132","https://openalex.org/W2103014446","https://openalex.org/W2105217850","https://openalex.org/W2165220807","https://openalex.org/W2168441989","https://openalex.org/W2563659825","https://openalex.org/W4291439952","https://openalex.org/W6632829569"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W206299888","https://openalex.org/W2102997898","https://openalex.org/W2549153708","https://openalex.org/W2140816515","https://openalex.org/W2381504162","https://openalex.org/W4285805598","https://openalex.org/W1971758741","https://openalex.org/W2793534203","https://openalex.org/W4309346246"],"abstract_inverted_index":{"In":[0,121],"this":[1,122],"paper":[2],"we":[3],"introduce":[4],"a":[5,19,27,39,73,98,134,138],"framework":[6,62],"for":[7,26,114],"automatic":[8],"feature":[9,35,51,68,132],"extraction":[10,36,69],"from":[11,94,140],"very":[12],"large":[13],"series.":[14],"The":[15,31,144],"extracted":[16],"features":[17],"build":[18],"new":[20,45,87],"representation":[21],"which":[22],"is":[23,38,150],"better":[24],"suitable":[25],"given":[28],"learning":[29,83],"task.":[30],"development":[32],"of":[33,81,103,112,147,155,160,165],"appropriate":[34,115],"methods":[37,105,116,149],"tedious":[40],"effort,":[41],"particularly":[42],"because":[43],"every":[44],"classification":[46,164,168],"task":[47],"requires":[48,97],"tailoring":[49],"the":[50,55,79,82,86,101,104,110,118,128,131,141,148,158],"set":[52],"anew.":[53],"Therefore,":[54],"simple":[56],"building":[57],"blocks":[58],"defined":[59],"in":[60,157],"our":[61],"can":[63],"be":[64],"combined":[65],"to":[66,91,170],"complex":[67],"methods.":[70],"We":[71],"employ":[72],"genetic":[74],"programming":[75],"approach":[76,90],"guided":[77],"by":[78,152],"performance":[80],"classifier":[84,139],"using":[85],"representation.":[88],"Our":[89],"evolve":[92],"representations":[93],"series":[95],"data":[96,162],"balance":[99],"between":[100],"completeness":[102],"on":[106,117],"one":[107],"side":[108],"and":[109,167],"tractability":[111],"searching":[113],"other":[119],"side.":[120],"paper,":[123],"some":[124],"theoretical":[125],"considerations":[126],"illustrate":[127],"trade-off.":[129],"After":[130],"extraction,":[133],"second":[135],"process":[136],"learns":[137],"transformed":[142],"data.":[143],"practical":[145],"use":[146],"shown":[151],"two":[153],"types":[154],"experiments":[156],"domain":[159],"music":[161],"classification:":[163],"genres":[166],"according":[169],"user":[171],"preferences.":[172]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
