{"id":"https://openalex.org/W2060190126","doi":"https://doi.org/10.1109/bmei.2013.6747023","title":"CSRule: Efficient mining of closed strong association rules in the resource effectiveness matrix","display_name":"CSRule: Efficient mining of closed strong association rules in the resource effectiveness matrix","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2060190126","doi":"https://doi.org/10.1109/bmei.2013.6747023","mag":"2060190126"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2013.6747023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6747023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100414890","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0001-5770-9529"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013655299","display_name":"Zhengjun Zhai","orcid":"https://orcid.org/0000-0002-9931-8849"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Zhai","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415842","display_name":"Miao Wang","orcid":"https://orcid.org/0000-0002-4102-8582"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao Wang","raw_affiliation_strings":["Science and Technology on Avionics Integration Laboratory, Shanghai, China","Sci. & Technol. on Avionics Integration Lab., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Avionics Integration Laboratory, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Sci. & Technol. on Avionics Integration Lab., Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334021","display_name":"Guoqing Wang","orcid":"https://orcid.org/0000-0002-9121-9571"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoqing Wang","raw_affiliation_strings":["Science and Technology on Avionics Integration Laboratory, Shanghai, China","Sci. & Technol. on Avionics Integration Lab., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Avionics Integration Laboratory, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Sci. & Technol. on Avionics Integration Lab., Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"666","last_page":"671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9803000092506409,"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":0.9498000144958496,"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":0.9164566397666931},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6774400472640991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475784182548523},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6314353942871094},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.599858283996582},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5359225273132324},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.4748004972934723},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4568957984447479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3637234568595886}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9164566397666931},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6774400472640991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475784182548523},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6314353942871094},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.599858283996582},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5359225273132324},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4748004972934723},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4568957984447479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3637234568595886},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2013.6747023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6747023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W162520951","https://openalex.org/W1538006201","https://openalex.org/W1993220529","https://openalex.org/W2092072097","https://openalex.org/W2122182354","https://openalex.org/W2125208521","https://openalex.org/W2127589007","https://openalex.org/W2138073318","https://openalex.org/W2142911525","https://openalex.org/W6606576769"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2364229524","https://openalex.org/W2357347077","https://openalex.org/W2365953361","https://openalex.org/W2385267502","https://openalex.org/W2385402965","https://openalex.org/W187593124","https://openalex.org/W2352295985","https://openalex.org/W2376705162"],"abstract_inverted_index":{"Association":[0],"rules":[1,34,46,58,85,108],"which":[2,47],"are":[3,59],"used":[4],"to":[5,17,66,80],"mine":[6,81,104],"resource":[7],"failure,":[8],"can":[9,103],"reduce":[10],"the":[11,54,68,72,90],"number":[12],"of":[13,44,71,92],"wrong":[14],"alarm":[15],"resources":[16],"be":[18],"replaced.":[19],"In":[20,64],"this":[21],"paper,":[22],"we":[23],"proposed":[24],"an":[25],"efficient":[26,120],"algorithm:":[27],"CSRule,":[28],"for":[29],"mining":[30,69,97],"closed":[31,55,82,105],"strong":[32,56,83,106],"association":[33,45,57,84,107],"based":[35,98],"on":[36,95,99],"merging":[37,62],"strategies.":[38,63],"Firstly,":[39],"it":[40],"generates":[41],"all":[42,53],"pairs":[43],"only":[48],"have":[49],"two":[50],"resources;":[51],"secondly,":[52],"mind":[60],"using":[61],"order":[65],"improve":[67],"efficiency":[70,94],"algorithm,":[73],"CSRule":[74,101],"algorithm":[75,102,117],"adopts":[76],"several":[77],"pruning":[78],"strategies":[79],"without":[86],"candidate":[87],"maintenance.":[88],"For":[89],"escape":[91],"low":[93],"secondary":[96],"definition,":[100],"at":[109],"one":[110],"time.":[111],"The":[112],"experimental":[113],"results":[114],"show":[115],"our":[116],"is":[118],"more":[119],"than":[121],"traditional":[122],"algorithm.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
