{"id":"https://openalex.org/W4254618077","doi":"https://doi.org/10.1080/18756891.2010.9727736","title":"A New Fast Vertical Method for Mining Frequent Patterns","display_name":"A New Fast Vertical Method for Mining Frequent Patterns","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W4254618077","doi":"https://doi.org/10.1080/18756891.2010.9727736"},"language":"en","primary_location":{"id":"doi:10.1080/18756891.2010.9727736","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727736","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/18756891.2010.9727736","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101810080","display_name":"Zhi\u2010Hong Deng","orcid":"https://orcid.org/0000-0002-6088-7534"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210092262","display_name":"Ministry of Education","ror":"https://ror.org/00dh5gw98","country_code":"RO","type":"funder","lineage":["https://openalex.org/I2799732796","https://openalex.org/I4210092262"]}],"countries":["CN","RO"],"is_corresponding":false,"raw_author_name":"Zhihong Deng","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science , Peking University , Beijing , 100871 , China E-mail: zhdeng@cis.pku.edu.cn","Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China E-mail: zhdeng@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science , Peking University , Beijing , 100871 , China E-mail: zhdeng@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China E-mail: zhdeng@cis.pku.edu.cn","institution_ids":["https://openalex.org/I4210092262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101686914","display_name":"Zhonghui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210092262","display_name":"Ministry of Education","ror":"https://ror.org/00dh5gw98","country_code":"RO","type":"funder","lineage":["https://openalex.org/I2799732796","https://openalex.org/I4210092262"]}],"countries":["CN","RO"],"is_corresponding":false,"raw_author_name":"Zhonghui Wang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science , Peking University , Beijing , 100871 , China E-mail: wangzh@cis.pku.edu.cn","Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China E-mail: wangzh@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science , Peking University , Beijing , 100871 , China E-mail: wangzh@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China E-mail: wangzh@cis.pku.edu.cn","institution_ids":["https://openalex.org/I4210092262"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":1.4282,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.90331631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"6","first_page":"733","last_page":"744"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9932000041007996,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.7364441156387329},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.6895343065261841},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6779901385307312},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5622434020042419},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.4799628257751465},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.47297775745391846},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47239038348197937},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.42950135469436646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4282544255256653},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.41030001640319824},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38765841722488403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36886292695999146},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2855536639690399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25191164016723633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364441156387329},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.6895343065261841},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6779901385307312},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5622434020042419},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.4799628257751465},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.47297775745391846},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47239038348197937},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.42950135469436646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4282544255256653},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.41030001640319824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38765841722488403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36886292695999146},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2855536639690399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25191164016723633},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/18756891.2010.9727736","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727736","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/18756891.2010.9727736","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727736","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1996249351","https://openalex.org/W2062826247","https://openalex.org/W2064853889","https://openalex.org/W2080632942","https://openalex.org/W2099404336","https://openalex.org/W2115482638","https://openalex.org/W2123645388","https://openalex.org/W2125220820","https://openalex.org/W2137012502","https://openalex.org/W2138732923","https://openalex.org/W2144481322","https://openalex.org/W2162034534","https://openalex.org/W2171612826","https://openalex.org/W2998574808"],"related_works":["https://openalex.org/W54192826","https://openalex.org/W2074308207","https://openalex.org/W2395357979","https://openalex.org/W2795037468","https://openalex.org/W3092113474","https://openalex.org/W1754202134","https://openalex.org/W2800763970","https://openalex.org/W1820781522","https://openalex.org/W2046569047","https://openalex.org/W2186419898"],"abstract_inverted_index":{"Vertical":[0],"mining":[1,7,14],"methods":[2,19],"are":[3,43,155],"very":[4,39,45,180],"effective":[5],"for":[6,61],"frequent":[8,63],"patterns":[9],"and":[10,135,153,195,201,222],"usually":[11],"outperform":[12],"horizontal":[13],"methods.":[15],"However,":[16],"the":[17,23,31,94,117,121,124,131,136,156,159,164,172],"vertical":[18,57,104,198],"become":[20],"ineffective":[21],"since":[22,111],"intersection":[24,132],"time":[25],"starts":[26],"to":[27,145],"be":[28,143,179],"costly":[29],"when":[30],"cardinality":[32],"of":[33,48,86,120,126,133,138,158,167,175,186,206],"tidset":[34],"(tid-list":[35],"or":[36,41,109],"diffset)":[37],"is":[38,76,88,96,128,171,214],"large":[40,46],"there":[42],"a":[44,55,70,79,204],"number":[47,205],"transactions.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"novel":[56],"algorithm":[58,192,217],"called":[59,73,82],"PPV":[60,66,87,213],"fast":[62],"pattern":[64],"discovery.":[65],"works":[67],"based":[68],"on":[69,203],"data":[71],"structure":[72,105],"Node-lists,":[74,177],"which":[75,170],"obtained":[77],"from":[78],"coding":[80],"prefix-tree":[81],"PPC-tree.":[83,122],"The":[84,208],"efficiency":[85],"achieved":[89],"with":[90,101,113,193],"three":[91],"techniques.":[92],"First,":[93],"Node-list":[95],"much":[97],"more":[98],"compact":[99],"compared":[100],"previous":[102],"proposed":[103],"(such":[106],"as":[107],"tid-lists":[108],"diffsets)":[110],"transactions":[112],"common":[114],"prefixes":[115],"share":[116],"same":[118],"nodes":[119],"Second,":[123],"counting":[125],"support":[127],"transformed":[129],"into":[130],"Node-lists":[134,141,161],"complexity":[137],"intersecting":[139,176],"two":[140,160,168,196],"can":[142,178],"reduced":[144],"O(m+n)":[146],"by":[147,183],"an":[148,215],"efficient":[149,216],"strategy,":[150],"where":[151],"m":[152],"n":[154],"cardinalities":[157],"respectively.":[162],"Third,":[163],"ancestor-descendant":[165],"relationship":[166],"nodes,":[169],"basic":[173],"step":[174],"efficiently":[181],"verified":[182],"Pre-Post":[184],"codes":[185],"nodes.":[187],"We":[188],"experimentally":[189],"compare":[190],"our":[191],"FP-growth,":[194,220],"prominent":[197],"algorithms":[199],"(Eclat":[200],"dEclat)":[202],"databases.":[207],"experimental":[209],"results":[210],"show":[211],"that":[212,218],"outperforms":[219],"Eclat,":[221],"dEclat.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
