{"id":"https://openalex.org/W2755560392","doi":"https://doi.org/10.1504/ijkedm.2017.10007846","title":"Rare Association Rule Mining: A Systematic Review","display_name":"Rare Association Rule Mining: A Systematic Review","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2755560392","doi":"https://doi.org/10.1504/ijkedm.2017.10007846","mag":"2755560392"},"language":"en","primary_location":{"id":"doi:10.1504/ijkedm.2017.10007846","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2017.10007846","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Journal of Knowledge Engineering and Data Mining","raw_type":"journal-article"},"type":"review","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/A5008410457","display_name":"Anindita Borah","orcid":"https://orcid.org/0000-0001-6023-849X"},"institutions":[{"id":"https://openalex.org/I126601174","display_name":"Tezpur University","ror":"https://ror.org/005x56091","country_code":"IN","type":"education","lineage":["https://openalex.org/I126601174"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anindita Borah","raw_affiliation_strings":["Department of Computer Science and Engineering, Tezpur University, Tezpur, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Tezpur University, Tezpur, Assam, India","institution_ids":["https://openalex.org/I126601174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008287533","display_name":"Bhabesh Nath","orcid":"https://orcid.org/0000-0003-3042-8457"},"institutions":[{"id":"https://openalex.org/I126601174","display_name":"Tezpur University","ror":"https://ror.org/005x56091","country_code":"IN","type":"education","lineage":["https://openalex.org/I126601174"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhabesh Nath","raw_affiliation_strings":["Department of Computer Science and Engineering, Tezpur University, Tezpur, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Tezpur University, Tezpur, Assam, India","institution_ids":["https://openalex.org/I126601174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008410457"],"corresponding_institution_ids":["https://openalex.org/I126601174"],"apc_list":null,"apc_paid":null,"fwci":1.4509,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87095742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9046000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.9074259996414185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6437298655509949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6063855290412903},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5748385787010193},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5590749382972717},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.5175430178642273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41983309388160706},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40745750069618225},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3286746144294739},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11101734638214111},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05607083439826965}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9074259996414185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6437298655509949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6063855290412903},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5748385787010193},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5590749382972717},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.5175430178642273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41983309388160706},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40745750069618225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3286746144294739},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11101734638214111},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05607083439826965},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijkedm.2017.10007846","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2017.10007846","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Journal of Knowledge Engineering and Data Mining","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":101,"referenced_works":["https://openalex.org/W527709","https://openalex.org/W15949162","https://openalex.org/W58463660","https://openalex.org/W111044289","https://openalex.org/W318467549","https://openalex.org/W1484926632","https://openalex.org/W1498871448","https://openalex.org/W1506285740","https://openalex.org/W1508989754","https://openalex.org/W1520460729","https://openalex.org/W1520890006","https://openalex.org/W1547844424","https://openalex.org/W1553696291","https://openalex.org/W1557997065","https://openalex.org/W1569653074","https://openalex.org/W1570932812","https://openalex.org/W1574086416","https://openalex.org/W1576501501","https://openalex.org/W1578959085","https://openalex.org/W1583975142","https://openalex.org/W1587192332","https://openalex.org/W1598033829","https://openalex.org/W1840507838","https://openalex.org/W1965107048","https://openalex.org/W1967379394","https://openalex.org/W1970934894","https://openalex.org/W1984607348","https://openalex.org/W1991517931","https://openalex.org/W2000106226","https://openalex.org/W2030926509","https://openalex.org/W2032469362","https://openalex.org/W2040155776","https://openalex.org/W2043066010","https://openalex.org/W2045487373","https://openalex.org/W2045816045","https://openalex.org/W2048779798","https://openalex.org/W2060654449","https://openalex.org/W2065789569","https://openalex.org/W2066277072","https://openalex.org/W2069721263","https://openalex.org/W2075403016","https://openalex.org/W2076395601","https://openalex.org/W2083386287","https://openalex.org/W2094770144","https://openalex.org/W2095952922","https://openalex.org/W2098798985","https://openalex.org/W2099404336","https://openalex.org/W2100417212","https://openalex.org/W2102297485","https://openalex.org/W2103776471","https://openalex.org/W2114624736","https://openalex.org/W2115482638","https://openalex.org/W2116509931","https://openalex.org/W2117862195","https://openalex.org/W2120923019","https://openalex.org/W2122347475","https://openalex.org/W2124722434","https://openalex.org/W2125921049","https://openalex.org/W2126400629","https://openalex.org/W2138184277","https://openalex.org/W2140190241","https://openalex.org/W2141405654","https://openalex.org/W2142312353","https://openalex.org/W2142333371","https://openalex.org/W2144583862","https://openalex.org/W2146712929","https://openalex.org/W2147440465","https://openalex.org/W2149558152","https://openalex.org/W2161950558","https://openalex.org/W2162708814","https://openalex.org/W2164570529","https://openalex.org/W2166559705","https://openalex.org/W2168894761","https://openalex.org/W2169474320","https://openalex.org/W2171113409","https://openalex.org/W2181825915","https://openalex.org/W2183305253","https://openalex.org/W2184925574","https://openalex.org/W2189680304","https://openalex.org/W2210278139","https://openalex.org/W2241652968","https://openalex.org/W2254242365","https://openalex.org/W2278238488","https://openalex.org/W2292327484","https://openalex.org/W2293584162","https://openalex.org/W2296388694","https://openalex.org/W2314003946","https://openalex.org/W2320389225","https://openalex.org/W2345980508","https://openalex.org/W2394978971","https://openalex.org/W2401363858","https://openalex.org/W2413638904","https://openalex.org/W2463778362","https://openalex.org/W2489475429","https://openalex.org/W2522045620","https://openalex.org/W2575059731","https://openalex.org/W2584877528","https://openalex.org/W2591421289","https://openalex.org/W2626390680","https://openalex.org/W2802542003","https://openalex.org/W3176132770"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2982449560","https://openalex.org/W2228835679","https://openalex.org/W4310720718","https://openalex.org/W2135571072","https://openalex.org/W2355694218","https://openalex.org/W2384676159"],"abstract_inverted_index":{"One":[0],"of":[1,5,11,20,31,35,50,89,92,103,131],"the":[2,9,18,33,48,63,77,90,104,125],"indispensable":[3],"tasks":[4],"data":[6],"mining":[7,26,135],"is":[8,27,117],"extraction":[10,19],"significant":[12],"and":[13,71,107,114,128],"meaningful":[14],"association":[15,24,94,133],"rules.":[16],"Whereas":[17],"frequent":[21,78],"patterns":[22,37],"using":[23],"rule":[25,95,109,134],"an":[28],"imperative":[29],"field":[30],"research,":[32],"idea":[34],"generating":[36],"that":[38],"do":[39],"not":[40],"appear":[41],"frequently":[42],"in":[43,52,112],"a":[44,85,100],"database":[45],"has":[46],"grabbed":[47],"attention":[49],"researchers":[51],"recent":[53],"years.":[54],"The":[55],"infrequent":[56],"items":[57,65],"or":[58,68],"more":[59,74],"commonly":[60],"known":[61],"as":[62],"rare":[64,93,105,108,132],"represent":[66],"unknown":[67],"unpredictable":[69],"associations":[70],"are":[72],"therefore":[73],"interesting":[75],"than":[76],"ones.":[79],"This":[80,119],"study":[81],"aims":[82],"to":[83,123],"provide":[84],"broad":[86],"systematic":[87],"review":[88],"area":[91],"mining.":[96],"In":[97],"this":[98],"paper,":[99],"methodical":[101],"analysis":[102],"itemset":[106],"generation":[110],"techniques":[111],"static":[113],"dynamic":[115],"environment":[116],"presented.":[118],"paper":[120],"also":[121],"attempts":[122],"feature":[124],"current":[126],"status":[127],"future":[129],"perspectives":[130],"along":[136],"with":[137],"some":[138],"major":[139],"research":[140],"challenges.":[141]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
