{"id":"https://openalex.org/W1598589403","doi":"https://doi.org/10.1007/978-3-540-77903-2_14","title":"Improving Classifier Performance by Using Fictitious Training Data? A Case Study","display_name":"Improving Classifier Performance by Using Fictitious Training Data? A Case Study","publication_year":2008,"publication_date":"2008-03-19","ids":{"openalex":"https://openalex.org/W1598589403","doi":"https://doi.org/10.1007/978-3-540-77903-2_14","mag":"1598589403"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-77903-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-77903-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S4210184104","display_name":"Operations research proceedings","issn_l":"0721-5924","issn":["0721-5924","2197-9294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research Proceedings","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/A5020353339","display_name":"Ralf Stecking","orcid":null},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Stecking","raw_affiliation_strings":["Faculty of Economics, University of Oldenburg, D-26111, Oldenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, University of Oldenburg, D-26111, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042640860","display_name":"Klaus B. Schebesch","orcid":"https://orcid.org/0000-0002-8447-8217"},"institutions":[{"id":"https://openalex.org/I4210106141","display_name":"Vasile Goldis Western University of Arad","ror":"https://ror.org/01e0stw12","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210106141"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Klaus B. Schebesch","raw_affiliation_strings":["Faculty of Economics, University \u201cVasile Goldi\u015f\u201d, Arad, Romania","Faculty of Economics, University \"Vasile Goldi\u015f\", Arad, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, University \u201cVasile Goldi\u015f\u201d, Arad, Romania","institution_ids":["https://openalex.org/I4210106141"]},{"raw_affiliation_string":"Faculty of Economics, University \"Vasile Goldi\u015f\", Arad, Romania","institution_ids":["https://openalex.org/I4210106141"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.676,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77200731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9944000244140625,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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":0.7098838686943054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5541523694992065},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5514758229255676},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5233568549156189},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5138168931007385},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.496660053730011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48972204327583313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4875594973564148},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4706399142742157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46209517121315},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4314258098602295},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42383015155792236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3333376944065094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098838686943054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5541523694992065},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5514758229255676},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5233568549156189},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5138168931007385},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.496660053730011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48972204327583313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4875594973564148},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4706399142742157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46209517121315},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4314258098602295},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42383015155792236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3333376944065094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-77903-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-77903-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S4210184104","display_name":"Operations research proceedings","issn_l":"0721-5924","issn":["0721-5924","2197-9294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research Proceedings","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":5,"referenced_works":["https://openalex.org/W11917578","https://openalex.org/W1515733971","https://openalex.org/W1569719001","https://openalex.org/W1777020415","https://openalex.org/W3119651796"],"related_works":["https://openalex.org/W2126100045","https://openalex.org/W2070883455","https://openalex.org/W1858454510","https://openalex.org/W3162160273","https://openalex.org/W2734744645","https://openalex.org/W2041636156","https://openalex.org/W2153189372","https://openalex.org/W3200612453","https://openalex.org/W2187500075","https://openalex.org/W2160451891"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}