{"id":"https://openalex.org/W1556857086","doi":"https://doi.org/10.1007/11847465_8","title":"Introducing a Rule Importance Measure","display_name":"Introducing a Rule Importance Measure","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1556857086","doi":"https://doi.org/10.1007/11847465_8","mag":"1556857086"},"language":"en","primary_location":{"id":"doi:10.1007/11847465_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11847465_8","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101818384","display_name":"Jiye Li","orcid":"https://orcid.org/0000-0001-7360-9720"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jiye Li","raw_affiliation_strings":["School of Computer Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105530330","display_name":"Nick Cercone","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Cercone","raw_affiliation_strings":["Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, B3H 1W5, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, B3H 1W5, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101818384"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.7517,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92950655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9739999771118164,"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/association-rule-learning","display_name":"Association rule learning","score":0.8394302129745483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692867517471313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6839053630828857},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6590647101402283},{"id":"https://openalex.org/keywords/reduct","display_name":"Reduct","score":0.6503068208694458},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.597152590751648},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.5520619750022888},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5104600191116333},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.506761372089386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4158819615840912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.379770964384079}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8394302129745483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692867517471313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6839053630828857},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6590647101402283},{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.6503068208694458},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.597152590751648},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.5520619750022888},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5104600191116333},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.506761372089386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4158819615840912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.379770964384079},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/11847465_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11847465_8","pdf_url":null,"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:10.1.1.92.7090","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.7090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uwaterloo.ca/~j27li/publication/TRS06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W7023465","https://openalex.org/W107910782","https://openalex.org/W340465096","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1516137452","https://openalex.org/W1526500914","https://openalex.org/W1537062386","https://openalex.org/W1541677875","https://openalex.org/W1542978828","https://openalex.org/W1555188220","https://openalex.org/W1557136227","https://openalex.org/W1557923305","https://openalex.org/W1558780827","https://openalex.org/W1574241439","https://openalex.org/W1595581037","https://openalex.org/W1606422643","https://openalex.org/W1973469161","https://openalex.org/W1978387271","https://openalex.org/W1983955072","https://openalex.org/W2041738807","https://openalex.org/W2058879468","https://openalex.org/W2084812512","https://openalex.org/W2116509046","https://openalex.org/W2298168480","https://openalex.org/W2340020088","https://openalex.org/W2500062327","https://openalex.org/W2913593077"],"related_works":["https://openalex.org/W2369301332","https://openalex.org/W2101726329","https://openalex.org/W2376860763","https://openalex.org/W2163171169","https://openalex.org/W1975980892","https://openalex.org/W2077183117","https://openalex.org/W1880013533","https://openalex.org/W2393055956","https://openalex.org/W831516024","https://openalex.org/W2010504013"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
