{"id":"https://openalex.org/W4387430307","doi":"https://doi.org/10.1007/978-3-031-45275-8_4","title":"iSOUP-SymRF: Symbolic Feature Ranking with\u00a0Random Forests in\u00a0Online Multi-target Regression","display_name":"iSOUP-SymRF: Symbolic Feature Ranking with\u00a0Random Forests in\u00a0Online Multi-target Regression","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387430307","doi":"https://doi.org/10.1007/978-3-031-45275-8_4"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-45275-8_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_4","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_4.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071929395","display_name":"Alja\u017e Osojnik","orcid":"https://orcid.org/0000-0001-9216-6419"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Alja\u017e Osojnik","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077223857","display_name":"Pan\u010de Panov","orcid":"https://orcid.org/0000-0002-7685-9140"},"institutions":[{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]},{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Pan\u010de Panov","raw_affiliation_strings":["Department of Knowledge Technologies, Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Knowledge Technologies, Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]},{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064609702","display_name":"Sa\u0161o D\u017eeroski","orcid":"https://orcid.org/0000-0003-2363-712X"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Sa\u0161o D\u017eeroski","raw_affiliation_strings":["Department of Knowledge Technologies, Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Knowledge Technologies, Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]},{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071929395"],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37398683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9817000031471252,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.783116340637207},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7439118027687073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6873955726623535},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.667875349521637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562380194664001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6255868673324585},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6120148301124573},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5295686721801758},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4800663888454437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4564918875694275},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4475114643573761},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4102451205253601},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38826075196266174},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15477818250656128},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.14768105745315552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10972544550895691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783116340637207},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7439118027687073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6873955726623535},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.667875349521637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562380194664001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6255868673324585},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6120148301124573},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5295686721801758},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4800663888454437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4564918875694275},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4475114643573761},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4102451205253601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38826075196266174},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15477818250656128},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14768105745315552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10972544550895691},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-45275-8_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_4","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_4.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-45275-8_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_4","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_4.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G1555151393","display_name":null,"funder_award_id":"P2-0103","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3827193553","display_name":null,"funder_award_id":"952215","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G565735717","display_name":null,"funder_award_id":"952215","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G7530123626","display_name":null,"funder_award_id":"P2-0103","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G8079567275","display_name":null,"funder_award_id":"952215","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8552916670","display_name":null,"funder_award_id":"J2-2505","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387430307.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W22924496","https://openalex.org/W1525647652","https://openalex.org/W1553806514","https://openalex.org/W1583700199","https://openalex.org/W2006398000","https://openalex.org/W2082168306","https://openalex.org/W2101591109","https://openalex.org/W2107014760","https://openalex.org/W2150000644","https://openalex.org/W2153605240","https://openalex.org/W2522701101","https://openalex.org/W2582292785","https://openalex.org/W2609165678","https://openalex.org/W2611675901","https://openalex.org/W2612265535","https://openalex.org/W2620707422","https://openalex.org/W2767079746","https://openalex.org/W2943593842","https://openalex.org/W2971238384","https://openalex.org/W2980605375","https://openalex.org/W3095352776","https://openalex.org/W4242001932"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2138488530","https://openalex.org/W2898073868","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"task":[2],"of":[3,46,82,86,109,119,129,135,141,149,173],"feature":[4,30,57,67,77,104,123],"ranking":[5,40,58,105],"has":[6],"received":[7],"considerable":[8],"attention":[9],"across":[10,106],"various":[11],"prediction":[12,97,113],"tasks":[13,45,98],"in":[14,21,79,127,157],"the":[15,22,41,44,72,80,117,122,130,133,136,139,147,171,178],"batch":[16],"learning":[17,24],"scenario,":[18],"but":[19],"not":[20],"online":[23,56,61,110,162],"setting.":[25],"Available":[26],"methods":[27],"that":[28],"estimate":[29],"importances":[31],"on":[32,39,71,99],"data":[33,100],"streams":[34],"have":[35],"thus":[36],"far":[37],"focused":[38],"features":[42,175],"for":[43,60],"classification":[47],"and":[48,121,138,151,167,169],"occasionally":[49],"multi-label":[50],"classification.":[51],"We":[52,115],"propose":[53],"a":[54,76,83,107],"novel":[55],"method":[59],"multi-target":[62,163],"regression,":[63],"iSOUP-SymRF,":[64],"which":[65,75,91],"estimates":[66],"importance":[68],"scores":[69],"based":[70],"positions":[73],"at":[74],"appears":[78],"trees":[81],"random":[84],"forest":[85],"iSOUP-Trees.":[87],"By":[88],"utilizing":[89],"iSOUP-Trees,":[90],"can":[92],"address":[93],"multiple":[94],"structured":[95,111],"output":[96,112],"streams,":[101],"iSOUP-SymRF":[102,120,150],"promises":[103],"variety":[108],"tasks.":[114],"examine":[116],"robustness":[118],"rankings":[124,153],"it":[125],"produces":[126],"terms":[128],"methods\u2019":[131],"parameters:":[132],"size":[134],"ensemble":[137],"number":[140],"selected":[142],"features.":[143],"Furthermore,":[144],"to":[145,177],"show":[146],"utility":[148],"its":[152],"we":[154],"use":[155],"them":[156],"conjunction":[158],"with":[159],"two":[160],"state-of-the-art":[161],"regression":[164],"methods,":[165],"iSOUP-Tree":[166],"AMRules,":[168],"analyze":[170],"impact":[172],"adding":[174],"according":[176],"rankings.":[179]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
