{"id":"https://openalex.org/W2112585725","doi":"https://doi.org/10.5539/cis.v7n1p10","title":"A Formal Concept Analysis Approach to Data Mining: The QuICL Algorithm for Fast Iceberg Lattice Construction","display_name":"A Formal Concept Analysis Approach to Data Mining: The QuICL Algorithm for Fast Iceberg Lattice Construction","publication_year":2013,"publication_date":"2013-10-28","ids":{"openalex":"https://openalex.org/W2112585725","doi":"https://doi.org/10.5539/cis.v7n1p10","mag":"2112585725"},"language":"en","primary_location":{"id":"doi:10.5539/cis.v7n1p10","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v7n1p10","pdf_url":"https://ccsenet.org/journal/index.php/cis/article/download/27845/18440","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ccsenet.org/journal/index.php/cis/article/download/27845/18440","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003497393","display_name":"David T. Smith","orcid":"https://orcid.org/0000-0001-6114-6968"},"institutions":[{"id":"https://openalex.org/I200885203","display_name":"Indiana University of Pennsylvania","ror":"https://ror.org/0511cmw96","country_code":"US","type":"education","lineage":["https://openalex.org/I200885203"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David T. Smith","raw_affiliation_strings":["Indiana University of Pennsylvania, Indiana, Pennsylvania, USA","Indiana University of Pennsylvania ,"],"affiliations":[{"raw_affiliation_string":"Indiana University of Pennsylvania, Indiana, Pennsylvania, USA","institution_ids":["https://openalex.org/I200885203"]},{"raw_affiliation_string":"Indiana University of Pennsylvania ,","institution_ids":["https://openalex.org/I200885203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003497393"],"corresponding_institution_ids":["https://openalex.org/I200885203"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1424323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9988999962806702,"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/T11106","display_name":"Data Management and Algorithms","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.756536066532135},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7417538166046143},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.7176960110664368},{"id":"https://openalex.org/keywords/formal-concept-analysis","display_name":"Formal concept analysis","score":0.580924928188324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.537401556968689},{"id":"https://openalex.org/keywords/lattice-miner","display_name":"Lattice Miner","score":0.5163611173629761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5101640224456787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756536066532135},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7417538166046143},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.7176960110664368},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.580924928188324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.537401556968689},{"id":"https://openalex.org/C203136989","wikidata":"https://www.wikidata.org/wiki/Q6497099","display_name":"Lattice Miner","level":3,"score":0.5163611173629761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5101640224456787},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5539/cis.v7n1p10","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v7n1p10","pdf_url":"https://ccsenet.org/journal/index.php/cis/article/download/27845/18440","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.659.9661","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.9661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ccsenet.org/journal/index.php/cis/article/download/27845/18440/","raw_type":"text"}],"best_oa_location":{"id":"doi:10.5539/cis.v7n1p10","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v7n1p10","pdf_url":"https://ccsenet.org/journal/index.php/cis/article/download/27845/18440","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2112585725.pdf","grobid_xml":"https://content.openalex.org/works/W2112585725.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W77161","https://openalex.org/W53681585","https://openalex.org/W110175884","https://openalex.org/W131061647","https://openalex.org/W1481614914","https://openalex.org/W1484413656","https://openalex.org/W1503614854","https://openalex.org/W1503729935","https://openalex.org/W1506285740","https://openalex.org/W1517123028","https://openalex.org/W1528996003","https://openalex.org/W1534041700","https://openalex.org/W1537336823","https://openalex.org/W1601616652","https://openalex.org/W1607553966","https://openalex.org/W1851672339","https://openalex.org/W2006770970","https://openalex.org/W2019726902","https://openalex.org/W2051508823","https://openalex.org/W2065253760","https://openalex.org/W2071515776","https://openalex.org/W2084144744","https://openalex.org/W2140190241","https://openalex.org/W2144249866","https://openalex.org/W2162034534","https://openalex.org/W2164197909","https://openalex.org/W2166559705","https://openalex.org/W2171612826","https://openalex.org/W2188773286","https://openalex.org/W4234423219","https://openalex.org/W4285719527","https://openalex.org/W6602197690","https://openalex.org/W6628750762","https://openalex.org/W6632343559","https://openalex.org/W6652736394"],"related_works":["https://openalex.org/W2376429569","https://openalex.org/W2157933604","https://openalex.org/W2377558373","https://openalex.org/W2794165897","https://openalex.org/W2381248923","https://openalex.org/W2290185703","https://openalex.org/W2178458300","https://openalex.org/W2797503453","https://openalex.org/W4283804571","https://openalex.org/W2279630705"],"abstract_inverted_index":{"Association":[0],"rule":[1],"mining":[2,69],"(ARM)":[3],"is":[4,118],"the":[5,32,42,91,115,130,133,148,185,193],"task":[6],"of":[7,31,52,132,144,187,208],"identifying":[8],"meaningful":[9],"implication":[10],"rules":[11,54],"exhibited":[12],"in":[13,73],"a":[14,50,80,99,119,167],"data":[15],"set.":[16],"Most":[17],"research":[18],"has":[19,199],"focused":[20],"on":[21,114,184],"extracting":[22],"frequent":[23],"item":[24,105],"(FI)":[25],"sets":[26,87,106],"and":[27,88,102,150,171],"thus":[28],"fallen":[29],"short":[30],"overall":[33],"ARM":[34],"objective.":[35],"The":[36,161],"FI":[37,68,86,125,169,188],"miners":[38,189],"fail":[39],"to":[40,48,67,146,201],"identify":[41,84,90],"upper":[43,92,194],"covers":[44],"that":[45,107,180],"are":[46,108],"needed":[47],"generate":[49],"set":[51],"association":[53],"whose":[55,82,121],"size":[56],"can":[57,70],"be":[58,71,202],"readily":[59],"exploited":[60],"by":[61,158],"an":[62,206],"end":[63],"user.":[64],"An":[65,111],"alternative":[66],"found":[72],"formal":[74],"concept":[75],"analysis":[76],"(FCA).":[77],"FCA":[78,96],"derives":[79],"lattice":[81,101,120,149,172,213],"concepts":[83,122],"closed":[85],"connections":[89],"covers.":[93,195],"However,":[94],"most":[95],"algorithms":[97,174],"construct":[98],"complete":[100],"therefore":[103],"include":[104],"not":[109],"frequent.":[110],"iceberg":[112],"lattice,":[113],"other":[116,212],"hand,":[117],"contain":[123],"only":[124],"sets.":[126],"This":[127],"paper":[128],"presents":[129],"development":[131],"Quick":[134],"Iceberg":[135],"Concept":[136],"Lattice":[137],"(QuICL)":[138],"algorithm.":[139],"QuICL":[140,162,181,198],"uses":[141],"recursion":[142],"instead":[143],"iteration":[145],"navigate":[147],"establish":[151],"connections,":[152],"thereby":[153],"eliminating":[154],"costly":[155],"processing":[156],"incurred":[157],"past":[159],"algorithms.":[160,215],"algorithm":[163],"was":[164],"evaluated":[165],"against":[166],"leading":[168],"miner":[170],"construction":[173,214],"using":[175],"cited":[176],"benchmarks.":[177],"Results":[178],"demonstrate":[179],"provides":[182],"performance":[183],"order":[186,207],"yet":[190],"additionally":[191],"derive":[192],"Beyond":[196],"this,":[197],"proved":[200],"very":[203],"efficient,":[204],"providing":[205],"magnitude":[209],"gains":[210],"over":[211]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}