{"id":"https://openalex.org/W2279277151","doi":"https://doi.org/10.6688/jise.2015.31.6.2","title":"Mining Non-Redundant Inter-Transaction Rules","display_name":"Mining Non-Redundant Inter-Transaction Rules","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2279277151","doi":"https://doi.org/10.6688/jise.2015.31.6.2","mag":"2279277151"},"language":"en","primary_location":{"id":"mag:2279277151","doi":"https://doi.org/10.6688/jise.2015.31.6.2","is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/journals/jise/jise31.html#Wang15","pdf_url":null,"source":{"id":"https://openalex.org/S106179100","display_name":"Journal of information science and engineering","issn_l":"1016-2364","issn":["1016-2364"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4324277498","host_organization_name":"Institute of Information Science","host_organization_lineage":["https://openalex.org/P4324277498"],"host_organization_lineage_names":["Institute of Information Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of information science and engineering","raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W2279277151"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100331421","display_name":"Wang Chun-sheng","orcid":"https://orcid.org/0000-0002-0469-2409","observed_orcids":["https://orcid.org/0000-0002-0469-2409"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang Chun-sheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0469-2409","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100331421"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4711,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73126732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"31","issue":"6","first_page":"1849","last_page":"1865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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/rule-redundancy","display_name":"rule redundancy","score":0.6159999966621399},{"id":"https://openalex.org/keywords/frequent-patterns","display_name":"frequent patterns","score":0.5379999876022339},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404837846755981},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.8034002780914307},{"id":"https://openalex.org/C25185021","wikidata":"https://www.wikidata.org/wiki/Q4053284","display_name":"Distributed transaction","level":4,"score":0.7200602293014526},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.6821249723434448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6633386611938477},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.5495960116386414},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5277281999588013},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5183616280555725},{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.4902696907520294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45609912276268005},{"id":"https://openalex.org/C137180784","wikidata":"https://www.wikidata.org/wiki/Q6997825","display_name":"Nested transaction","level":5,"score":0.4540179967880249},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26860085129737854},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05747857689857483}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2279277151","doi":"https://doi.org/10.6688/jise.2015.31.6.2","is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/journals/jise/jise31.html#Wang15","pdf_url":null,"source":{"id":"https://openalex.org/S106179100","display_name":"Journal of information science and engineering","issn_l":"1016-2364","issn":["1016-2364"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4324277498","host_organization_name":"Institute of Information Science","host_organization_lineage":["https://openalex.org/P4324277498"],"host_organization_lineage_names":["Institute of Information Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of information science and engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1506481577","https://openalex.org/W1976673810","https://openalex.org/W2001055285","https://openalex.org/W2011103514","https://openalex.org/W2020967122","https://openalex.org/W2033825993","https://openalex.org/W2039242902","https://openalex.org/W2052870551","https://openalex.org/W2063529879","https://openalex.org/W2123032177","https://openalex.org/W2128343678","https://openalex.org/W2140937627","https://openalex.org/W2149934057","https://openalex.org/W2150450084","https://openalex.org/W2153772697","https://openalex.org/W2167917691","https://openalex.org/W2171479472","https://openalex.org/W2171612826","https://openalex.org/W4249002966"],"related_works":["https://openalex.org/W1554957648","https://openalex.org/W2742253646","https://openalex.org/W2138050692","https://openalex.org/W2033825993","https://openalex.org/W1968132805","https://openalex.org/W2017010318","https://openalex.org/W2991367919","https://openalex.org/W3004274691","https://openalex.org/W2150450084"],"abstract_inverted_index":{"Inter-transaction":[0],"pattern":[1],"and":[2,12,37,85,100,115,140,142],"rule":[3,23,94],"mining":[4,24,79],"has":[5,13],"been":[6],"the":[7,20,67,91,110,122,135,144],"subject":[8],"of":[9,31,44,70,78,124],"active":[10],"research":[11,77],"potential":[14],"application":[15],"in":[16,147],"many":[17],"areas.":[18],"All":[19],"previous":[21],"inter-transaction":[22,32,45,56,71,81,88,93,112,125],"studies":[25],"proposed":[26,136],"generating":[27,52],"a":[28,41,53,75],"full":[29,42,54],"set":[30,43,55],"rules":[33,57,113,126],"(i.e.,":[34,47],"all":[35,48,148],"frequent":[36,49],"confident":[38],"rules)":[39],"from":[40],"patterns":[46],"patterns).":[50],"However,":[51],"can":[58],"be":[59],"very":[60],"expensive.":[61],"In":[62],"this":[63],"paper,":[64],"to":[65,98,108,120],"resolve":[66],"explosive":[68],"growth":[69],"rules,":[72,89],"we":[73],"propose":[74],"new":[76],"non-redundant":[80,87,111],"rules.":[82],"We":[83,102,130],"investigate":[84],"characterize":[86],"study":[90],"quality":[92],"sets":[95],"with":[96],"respect":[97],"completeness":[99],"tightness.":[101],"develop":[103],"an":[104,116],"algorithm":[105,117,137,146],"named":[106,118],"NRITR-Miner":[107],"mine":[109,121],"efficiently":[114],"ITR-Miner":[119],"full-set":[123],"for":[127],"comparing":[128],"purpose.":[129],"demonstrate":[131],"via":[132],"experiments":[133],"that":[134],"is":[138],"efficient":[139],"scalable,":[141],"outperform":[143],"compared":[145],"cases.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
