{"id":"https://openalex.org/W2795012212","doi":"https://doi.org/10.1186/s40537-018-0112-0","title":"Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark","display_name":"Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark","publication_year":2018,"publication_date":"2018-02-19","ids":{"openalex":"https://openalex.org/W2795012212","doi":"https://doi.org/10.1186/s40537-018-0112-0","mag":"2795012212"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-018-0112-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0112-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0112-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0112-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090525461","display_name":"Sanjay Rathee","orcid":"https://orcid.org/0000-0002-2853-0842"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sanjay Rathee","raw_affiliation_strings":["School of Computing and Electrical Engineering, IIT Mandi, Kamand Campus, Mandi, India"],"raw_orcid":"https://orcid.org/0000-0002-2853-0842","affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, IIT Mandi, Kamand Campus, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021325865","display_name":"Arti Kashyap","orcid":"https://orcid.org/0000-0003-0243-5019"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arti Kashyap","raw_affiliation_strings":["School of Basic Sciences, IIT Mandi, Kamand Campus, Mandi, 175005, India","School of Computing and Electrical Engineering, IIT Mandi, Kamand Campus, Mandi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Sciences, IIT Mandi, Kamand Campus, Mandi, 175005, India","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"School of Computing and Electrical Engineering, IIT Mandi, Kamand Campus, Mandi, India","institution_ids":["https://openalex.org/I9579091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090525461"],"corresponding_institution_ids":["https://openalex.org/I9579091"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":14.3951,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98828914,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9922999739646912,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9843000173568726,"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":0.8676100969314575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.856987714767456},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.8294501900672913},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.6852363348007202},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6256239414215088},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4904639422893524},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.351692795753479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34432095289230347},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24349626898765564}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8676100969314575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.856987714767456},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.8294501900672913},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.6852363348007202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6256239414215088},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4904639422893524},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.351692795753479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34432095289230347},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24349626898765564},{"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:10.1186/s40537-018-0112-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0112-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0112-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5cf5bbc9f7de4a69a123ef7235f1371b","is_oa":true,"landing_page_url":"https://doaj.org/article/5cf5bbc9f7de4a69a123ef7235f1371b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 5, Iss 1, Pp 1-17 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-018-0112-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0112-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0112-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795012212.pdf","grobid_xml":"https://content.openalex.org/works/W2795012212.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1481392940","https://openalex.org/W1544139368","https://openalex.org/W1553093850","https://openalex.org/W1776456436","https://openalex.org/W1906561224","https://openalex.org/W1974710420","https://openalex.org/W1981162575","https://openalex.org/W1987513450","https://openalex.org/W1992540139","https://openalex.org/W1995064042","https://openalex.org/W1995797177","https://openalex.org/W2014619231","https://openalex.org/W2017663296","https://openalex.org/W2056910091","https://openalex.org/W2079931838","https://openalex.org/W2083786854","https://openalex.org/W2087665380","https://openalex.org/W2095535748","https://openalex.org/W2102589938","https://openalex.org/W2105768086","https://openalex.org/W2107005225","https://openalex.org/W2121431555","https://openalex.org/W2129714679","https://openalex.org/W2140838268","https://openalex.org/W2164604674","https://openalex.org/W2180880586","https://openalex.org/W2185520150","https://openalex.org/W2189465200","https://openalex.org/W2254826453","https://openalex.org/W2296044363","https://openalex.org/W2542364126","https://openalex.org/W2543331515","https://openalex.org/W3103669817","https://openalex.org/W4254750692"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W3012205960","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W4308793916","https://openalex.org/W3014936414"],"abstract_inverted_index":{"Extraction":[0],"of":[1,21,46,64,73,84,108,114,122,138,156,168,191,194,238,276,304],"valuable":[2],"data":[3,65],"from":[4,145],"extensive":[5],"datasets":[6,38,140],"is":[7,19,42,69,90,112,120,261,280],"a":[8,74,91,157,183,189,204,262],"standout":[9],"amongst":[10],"the":[11,22,47,61,71,82,115,123,235,250,274,299,305],"most":[12,43,124],"vital":[13],"exploration":[14],"issues.":[15],"Association":[16],"rule":[17,49,56,96,207,265,288],"mining":[18,50,57,97,208,266,289],"one":[20,113,121],"highly":[23,158],"used":[24],"methods":[25],"for":[26,93,133,175,219],"this":[27,85],"purpose.":[28],"Finding":[29],"possible":[30],"associations":[31],"between":[32],"items":[33],"in":[34,178],"large":[35,139],"transaction":[36],"based":[37,54,77,131,170,233,272],"(finding":[39],"frequent":[40,221],"itemsets)":[41],"crucial":[44],"part":[45],"association":[48,55,95,206,264,287],"task.":[51],"Many":[52],"single-machine":[53],"algorithms":[58],"exist":[59],"but":[60],"massive":[62],"amount":[63],"available":[66],"these":[67,106],"days":[68],"above":[70],"capacity":[72],"single":[75],"machine":[76],"algorithm.":[78],"Therefore,":[79,201,278],"to":[80,198,254,295],"meet":[81],"demands":[83],"ever-growing":[86],"enormous":[87],"data,":[88],"there":[89],"need":[92],"distributed":[94,134,199,205],"algorithm":[98,160,209,267,307],"which":[99,215,268],"can":[100],"run":[101],"on":[102,210,234,273,308],"multiple":[103],"machines.":[104],"For":[105],"types":[107],"parallel/distributed":[109],"applications,":[110],"MapReduce":[111,130,169],"best":[116,251],"fault-tolerant":[117],"frameworks.":[118],"Hadoop":[119,164],"popular":[125],"open-source":[126],"software":[127],"frameworks":[128],"with":[129,223,249],"approach":[132,218,271],"storage":[135],"and":[136,226,247,257,282,302],"processing":[137,237],"using":[141],"standalone":[142],"clusters":[143],"built":[144],"commodity":[146],"hardware.":[147],"But":[148],"heavy":[149],"disk":[150],"I/O":[151],"operation":[152],"at":[153],"each":[154],"iteration":[155,246],"iterative":[159],"like":[161],"Apriori":[162],"makes":[163,241],"inefficient.":[165],"A":[166],"number":[167],"platforms":[171],"are":[172],"being":[173],"developed":[174],"parallel":[176],"computing":[177],"recent":[179],"years.":[180],"Among":[181],"them,":[182],"platform,":[184],"namely,":[185],"Spark":[186,211],"have":[187],"attracted":[188],"lot":[190],"attention":[192],"because":[193],"its":[195,270],"inbuilt":[196],"support":[197],"computations.":[200],"we":[202],"implemented":[203],"named":[212],"as":[213],"Adaptive-Miner":[214,228,240,306],"uses":[216,229],"adaptive":[217,231],"finding":[220],"patterns":[222],"higher":[224],"accuracy":[225],"efficiency.":[227],"an":[230],"strategy":[232],"partial":[236],"datasets.":[239],"execution":[242],"plans":[243],"before":[244],"every":[245],"goes":[248],"suitable":[252],"plan":[253],"minimize":[255],"time":[256],"space":[258],"complexity.":[259],"Adpative-Miner":[260],"dynamic":[263],"change":[269],"nature":[275],"dataset.":[277],"it":[279],"different":[281],"better":[283],"than":[284],"state-of-the-art":[285],"static":[286],"algorithms.":[290],"We":[291],"conduct":[292],"in-depth":[293],"experiments":[294],"gain":[296],"insight":[297],"into":[298],"effectiveness,":[300],"efficiency,":[301],"scalability":[303],"Spark.":[309],"Available:":[310],"https://github.com/sanjaysinghrathi/Adaptive-Miner":[311]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}