{"id":"https://openalex.org/W2002258118","doi":"https://doi.org/10.1145/1553374.1553444","title":"Rule learning with monotonicity constraints","display_name":"Rule learning with monotonicity constraints","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2002258118","doi":"https://doi.org/10.1145/1553374.1553444","mag":"2002258118"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-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/A5001603308","display_name":"Wojciech Kot\u0142owski","orcid":"https://orcid.org/0000-0002-5905-8069"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wojciech Kot\u0142owski","raw_affiliation_strings":["Pozna\u0144 University of Technology, Pozna\u0144, Poland","Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Pozna\u0144 University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070170207","display_name":"Roman S\u0142owi\u0144ski","orcid":"https://orcid.org/0000-0002-5200-7795"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Roman S\u0142owi\u0144ski","raw_affiliation_strings":["Pozna\u0144 University of Technology, Pozna\u0144, Poland","Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Pozna\u0144 University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001603308"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":4.456,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.94680295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976000189781189,"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":0.9976000189781189,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9961000084877014,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9740999937057495,"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/monotonic-function","display_name":"Monotonic function","score":0.821528434753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653234958648682},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5913294553756714},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.585183322429657},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5458638072013855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5308008790016174},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5305110812187195},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5101225972175598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4868609309196472},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.4814740717411041},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467227518558502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25193893909454346},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14005252718925476}],"concepts":[{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.821528434753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653234958648682},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5913294553756714},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.585183322429657},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5458638072013855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5308008790016174},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5305110812187195},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5101225972175598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4868609309196472},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.4814740717411041},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467227518558502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25193893909454346},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14005252718925476},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1553374.1553444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1515455748","https://openalex.org/W1564947197","https://openalex.org/W1570448133","https://openalex.org/W1578080815","https://openalex.org/W1594298132","https://openalex.org/W1608733719","https://openalex.org/W1968248886","https://openalex.org/W1975846642","https://openalex.org/W1997855593","https://openalex.org/W2031925165","https://openalex.org/W2038600851","https://openalex.org/W2039045151","https://openalex.org/W2043409535","https://openalex.org/W2090961061","https://openalex.org/W2101285186","https://openalex.org/W2109603199","https://openalex.org/W2120199131","https://openalex.org/W2128186735","https://openalex.org/W2136593597","https://openalex.org/W2153685565","https://openalex.org/W2188752281","https://openalex.org/W2293093810","https://openalex.org/W2912187835","https://openalex.org/W2966207845","https://openalex.org/W3120740533","https://openalex.org/W3123294050","https://openalex.org/W4253712714","https://openalex.org/W6697097869"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2077314575","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W4380682190","https://openalex.org/W2000242494"],"abstract_inverted_index":{"In":[0,20],"classification":[1,61],"with":[2,14,31,70],"monotonicity":[3,32],"constraints,":[4],"it":[5],"is":[6,76],"assumed":[7],"that":[8],"the":[9,18,27,41,56,71],"class":[10],"label":[11],"should":[12],"increase":[13],"increasing":[15],"values":[16],"on":[17],"attributes.":[19],"this":[21],"paper":[22],"we":[23,44],"aim":[24],"at":[25],"formalizing":[26],"approach":[28],"to":[29],"learning":[30,49],"constraints":[33],"from":[34],"statistical":[35,42],"point":[36],"of":[37],"view.":[38],"Motivated":[39],"by":[40,78],"analysis,":[43],"present":[45],"an":[46],"algorithm":[47,53],"for":[48],"rule":[50,67],"ensembles.":[51],"The":[52,74],"first":[54],"\"monotonizes\"":[55],"data":[57],"using":[58],"a":[59,66,79,85],"nonparametric":[60],"procedure":[62,75],"and":[63,82],"then":[64],"generates":[65],"ensemble":[68],"consistent":[69],"training":[72],"set.":[73],"justified":[77],"theoretical":[80],"analysis":[81],"verified":[83],"in":[84],"computational":[86],"experiment.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
