{"id":"https://openalex.org/W2055853612","doi":"https://doi.org/10.1080/10798587.2002.10644194","title":"Incremental Inductive Learning Algorithm And Its Performance Evaluation: Rough Set Approach","display_name":"Incremental Inductive Learning Algorithm And Its Performance Evaluation: Rough Set Approach","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2055853612","doi":"https://doi.org/10.1080/10798587.2002.10644194","mag":"2055853612"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2002.10644194","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2002.10644194","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-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/A5032021499","display_name":"Won-Chul Bang","orcid":"https://orcid.org/0000-0003-3175-7551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Won-Chul Bang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5105774489","display_name":"Zeungnam Bien","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeungnam Bien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14240114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"1","first_page":"15","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9746000170707703,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8971394300460815},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5252651572227478},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.52077716588974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5027146339416504},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"Inductive reasoning","score":0.45150670409202576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4374547600746155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4056784212589264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8971394300460815},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5252651572227478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.52077716588974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5027146339416504},{"id":"https://openalex.org/C21563000","wikidata":"https://www.wikidata.org/wiki/Q484511","display_name":"Inductive reasoning","level":2,"score":0.45150670409202576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4374547600746155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4056784212589264},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2002.10644194","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2002.10644194","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2001619934","https://openalex.org/W4232953319"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W1964260090","https://openalex.org/W2353240132","https://openalex.org/W1486178390","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W1964755555"],"abstract_inverted_index":{"Abstract":[0],"Classical":[1],"methods":[2],"to":[3,18,27],"fmd":[4],"a":[5,40,46,65],"minimal":[6,41],"set":[7,14,42],"of":[8,43,60],"rules":[9,44],"based":[10],"on":[11],"the":[12,28,51,74],"rough":[13],"theory":[15],"are":[16],"known":[17],"be":[19],"ineffective":[20],"in":[21,62,79,85],"dealing":[22,80],"with":[23,57,64,81],"new":[24,82],"instances":[25],"added":[26],"universe.":[29],"This":[30],"paper":[31],"introduces":[32],"an":[33],"inductive":[34],"learning":[35],"algorithm":[36,52,76],"for":[37],"incrementally":[38],"retrieving":[39],"from":[45],"given":[47],"decision":[48],"table.":[49],"Then,":[50],"is":[53,77],"validated":[54],"via":[55],"simulations":[56],"two":[58],"sets":[59],"data,":[61],"comparison":[63],"classical":[66],"non-incremental":[67],"algorithm.":[68],"The":[69],"simulation":[70],"results":[71],"show":[72],"that":[73],"proposed":[75],"effective":[78],"instances,":[83],"especially":[84],"practical":[86],"use.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}