{"id":"https://openalex.org/W2162664497","doi":"https://doi.org/10.1007/11564096_64","title":"Efficient Case Based Feature Construction","display_name":"Efficient Case Based Feature Construction","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2162664497","doi":"https://doi.org/10.1007/11564096_64","mag":"2162664497"},"language":"en","primary_location":{"id":"doi:10.1007/11564096_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11564096_64","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11564096_64.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":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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F11564096_64.pdf","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":["Artificial Intelligence Unit,Department of Computer Science, University of Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Unit,Department of Computer Science, University of Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112038452","display_name":"Michael Wurst","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":"Michael Wurst","raw_affiliation_strings":["Artificial Intelligence Unit,Department of Computer Science, University of Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Unit,Department of Computer Science, University of Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.996,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78583892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973999857902527,"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":0.8326709270477295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6856921911239624},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6257579326629639},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6226164102554321},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6010409593582153},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5668331384658813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559063196182251},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5584088563919067},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5479627847671509},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4652346968650818},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43330949544906616},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41083037853240967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.407637357711792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3167251944541931},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09032547473907471},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06426864862442017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8326709270477295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6856921911239624},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6257579326629639},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6226164102554321},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6010409593582153},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5668331384658813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559063196182251},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5584088563919067},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5479627847671509},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4652346968650818},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43330949544906616},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41083037853240967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.407637357711792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3167251944541931},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09032547473907471},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06426864862442017},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/11564096_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11564096_64","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11564096_64.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.68.8214","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.8214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-ai.cs.uni-dortmund.de/DOKUMENTE/mierswa_wurst_2005c.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/11564096_64","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11564096_64","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11564096_64.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2162664497.pdf","grobid_xml":"https://content.openalex.org/works/W2162664497.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W1560550898","https://openalex.org/W1560724230","https://openalex.org/W1849729440","https://openalex.org/W2036043322","https://openalex.org/W2040884411","https://openalex.org/W2053156826","https://openalex.org/W2067273358","https://openalex.org/W2133462743","https://openalex.org/W2145680191","https://openalex.org/W2149706766","https://openalex.org/W2151554678","https://openalex.org/W2156909104","https://openalex.org/W2162664497","https://openalex.org/W2162888803","https://openalex.org/W3104240813","https://openalex.org/W3122943284","https://openalex.org/W3139831614","https://openalex.org/W3144619878","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4281760909","https://openalex.org/W2196230072","https://openalex.org/W2964189431","https://openalex.org/W2950554226","https://openalex.org/W4301966223","https://openalex.org/W2898978534","https://openalex.org/W4226150333","https://openalex.org/W2785535669","https://openalex.org/W2963749793","https://openalex.org/W2326464007"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}