{"id":"https://openalex.org/W4416383191","doi":"https://doi.org/10.62036/isd.2025.37","title":"Coalition-Based Rule Induction and Decision Template Matching for Distributed Tabular Data","display_name":"Coalition-Based Rule Induction and Decision Template Matching for Distributed Tabular Data","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416383191","doi":"https://doi.org/10.62036/isd.2025.37"},"language":null,"primary_location":{"id":"doi:10.62036/isd.2025.37","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.37","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1704&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1704&context=isd2014","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077573143","display_name":"Katarzyna Kusztal","orcid":"https://orcid.org/0000-0002-9970-5339"},"institutions":[{"id":"https://openalex.org/I864159182","display_name":"University of Silesia in Katowice","ror":"https://ror.org/0104rcc94","country_code":"PL","type":"education","lineage":["https://openalex.org/I864159182"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Kusztal","raw_affiliation_strings":["University of Silesia in Katowice, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Silesia in Katowice, Poland","institution_ids":["https://openalex.org/I864159182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036486832","display_name":"Ma\u0142gorzata Przyby\u0142a\u2010Kasperek","orcid":"https://orcid.org/0000-0003-0616-9694"},"institutions":[{"id":"https://openalex.org/I306340464","display_name":"Constantine the Philosopher University in Nitra","ror":"https://ror.org/038dnay05","country_code":"SK","type":"education","lineage":["https://openalex.org/I306340464"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Malgorzata Przybyla-Kasperek","raw_affiliation_strings":["University of Silesia in Katowice; Constantine the Philosopher University in Nitra, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Silesia in Katowice; Constantine the Philosopher University in Nitra, Poland","institution_ids":["https://openalex.org/I306340464"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6157,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86739282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.39570000767707825,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.39570000767707825,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.11060000211000443,"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":0.06379999965429306,"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/decision-tree","display_name":"Decision tree","score":0.7800999879837036},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.7222999930381775},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.5328999757766724},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4756999909877777},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.47110000252723694},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4027999937534332},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.37229999899864197},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.3361999988555908}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7800999879837036},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.7222999930381775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6337000131607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272000074386597},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.5328999757766724},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.47110000252723694},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880000114440918},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35030001401901245},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.3361999988555908},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.2824000120162964},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C61449625","wikidata":"https://www.wikidata.org/wiki/Q4683801","display_name":"Admissible decision rule","level":5,"score":0.2777999937534332},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.2718000113964081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.62036/isd.2025.37","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.37","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1704&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},{"id":"pmh:oai:aisel.aisnet.org:isd2014-1704","is_oa":false,"landing_page_url":"https://aisel.aisnet.org/isd2014/proceedings2025/datascience/7","pdf_url":null,"source":{"id":"https://openalex.org/S30879505","display_name":"Journal of the Association for Information Systems","issn_l":"1536-9323","issn":["1536-9323"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321080","host_organization_name":"Association for Information Systems","host_organization_lineage":["https://openalex.org/P4310321080"],"host_organization_lineage_names":["Association for Information Systems"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Conference on Information Systems Development (ISD)","raw_type":"text"}],"best_oa_location":{"id":"doi:10.62036/isd.2025.37","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.37","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1704&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416383191.pdf","grobid_xml":"https://content.openalex.org/works/W4416383191.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"approach":[5],"to":[6,29,87],"the":[7,37,48,69,74,88,103,108],"classification":[8,64],"of":[9,15],"distributed":[10],"data,":[11],"which":[12,91],"integratesthe":[13],"cooperation":[14],"local":[16],"decision":[17,25,114],"tables":[18],"within":[19],"coalitions":[20],"with":[21,107],"rule":[22,51],"induction":[23,52],"and":[24,71,76],"templates.The":[26],"method":[27],"aims":[28],"preserve":[30],"model":[31],"transparency":[32],"while":[33,73,97],"taking":[34],"into":[35],"account":[36],"diversityof":[38],"data":[39],"sources.":[40],"Experiments":[41],"were":[42,66],"conducted":[43],"on":[44,113],"three":[45],"datasets,":[46],"comparing":[47],"performance":[49],"offour":[50],"algorithms:":[53],"exhaustive":[54,70],"search":[55],"algorithm,":[56,58],"genetic":[57],"covering":[59,75],"algorithm,and":[60],"LEM2.":[61],"The":[62,82],"best":[63],"results":[65,85],"obtained":[67],"for":[68],"geneticalgorithms,":[72],"LEM2":[77],"methods":[78],"performed":[79],"significantly":[80],"worse.":[81],"proposedapproach":[83],"achieves":[84],"comparable":[86],"baseline":[89],"method,":[90],"does":[92],"not":[93],"incorporate":[94],"thecoalition":[95],"mechanism,":[96],"offering":[98],"higher":[99],"interpretability.":[100],"In":[101],"addition,":[102],"proposed":[104],"solutionwas":[105],"compared":[106],"Authors\u2019":[109],"earlier":[110],"approaches":[111],"based":[112],"tree":[115],"classifiers.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-11-19T00:00:00"}