{"id":"https://openalex.org/W1505297101","doi":"https://doi.org/10.1007/978-3-642-03040-6_41","title":"Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach","display_name":"Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1505297101","doi":"https://doi.org/10.1007/978-3-642-03040-6_41","mag":"1505297101"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-03040-6_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03040-6_41","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041516130","display_name":"Lu Ren","orcid":"https://orcid.org/0000-0002-9731-8562"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lu Ren","raw_affiliation_strings":["City University, London, UK","City University London, UK"],"affiliations":[{"raw_affiliation_string":"City University, London, UK","institution_ids":["https://openalex.org/I180825142"]},{"raw_affiliation_string":"City University London, UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103341206","display_name":"Artur d\u2019 Avila Garcez","orcid":null},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Artur d\u2019 Avila Garcez","raw_affiliation_strings":["City University, London, UK","City University London, UK"],"affiliations":[{"raw_affiliation_string":"City University, London, UK","institution_ids":["https://openalex.org/I180825142"]},{"raw_affiliation_string":"City University London, UK","institution_ids":["https://openalex.org/I180825142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041516130"],"corresponding_institution_ids":["https://openalex.org/I180825142"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.4472,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82128454,"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":"335","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9882000088691711,"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/support-vector-machine","display_name":"Support vector machine","score":0.8840457201004028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8036854267120361},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6454185247421265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5698376893997192},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5552934408187866},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5298262238502502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4924217462539673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.450738787651062},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4434250593185425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4379955530166626},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.42984816431999207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13230758905410767}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8840457201004028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036854267120361},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6454185247421265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698376893997192},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5552934408187866},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5298262238502502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4924217462539673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.450738787651062},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4434250593185425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4379955530166626},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.42984816431999207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13230758905410767},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-03040-6_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03040-6_41","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W152751697","https://openalex.org/W1491127199","https://openalex.org/W1547466200","https://openalex.org/W1582935230","https://openalex.org/W1968970479","https://openalex.org/W1981276685","https://openalex.org/W2014337138","https://openalex.org/W2065204741","https://openalex.org/W2079884250","https://openalex.org/W2094590527","https://openalex.org/W2104046064","https://openalex.org/W2109721638","https://openalex.org/W2111620756","https://openalex.org/W2132522091","https://openalex.org/W2148603752","https://openalex.org/W2157239837","https://openalex.org/W2164641162","https://openalex.org/W2229641681","https://openalex.org/W2486866230","https://openalex.org/W2492794003","https://openalex.org/W2883109957"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2186666570","https://openalex.org/W2683383161","https://openalex.org/W2104936869","https://openalex.org/W2143867687","https://openalex.org/W4253128984","https://openalex.org/W2384390720","https://openalex.org/W2122277321","https://openalex.org/W2565312173","https://openalex.org/W2364362706"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}