{"id":"https://openalex.org/W1997024687","doi":"https://doi.org/10.4018/jdm.2006070102","title":"A Framework for Efficient Association Rule Mining in XML Data","display_name":"A Framework for Efficient Association Rule Mining in XML Data","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W1997024687","doi":"https://doi.org/10.4018/jdm.2006070102","mag":"1997024687"},"language":"en","primary_location":{"id":"doi:10.4018/jdm.2006070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdm.2006070102","pdf_url":null,"source":{"id":"https://openalex.org/S73024538","display_name":"Journal of Database Management","issn_l":"1063-8016","issn":["1063-8016","1533-8010"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Database Management","raw_type":"journal-article"},"type":"article","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/A5100329266","display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0002-3835-7975"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349055","display_name":"Han Liu","orcid":"https://orcid.org/0000-0002-7731-8258"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037961481","display_name":"Tok Wang Ling","orcid":"https://orcid.org/0000-0002-0496-0565"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tok Wang Ling","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086344969","display_name":"Robert M. Bruckner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Robert M. Bruckner","raw_affiliation_strings":["Microsoft, USA","Microsoft Research Asia,"],"affiliations":[{"raw_affiliation_string":"Microsoft, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Asia,","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043499130","display_name":"A Min Tjoa","orcid":"https://orcid.org/0000-0002-8295-9252"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A Min Tjoa","raw_affiliation_strings":["Vienna University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100329266"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.8619,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83692479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"3","first_page":"19","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T11106","display_name":"Data Management and Algorithms","score":0.9797000288963318,"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":0.8992387056350708},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6788288354873657},{"id":"https://openalex.org/keywords/efficient-xml-interchange","display_name":"Efficient XML Interchange","score":0.583135187625885},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5730380415916443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5398314595222473},{"id":"https://openalex.org/keywords/xml-validation","display_name":"XML validation","score":0.5335111618041992},{"id":"https://openalex.org/keywords/streaming-xml","display_name":"Streaming XML","score":0.5249664187431335},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.5245257019996643},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4635421931743622},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44782721996307373},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4253818988800049},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4170498251914978},{"id":"https://openalex.org/keywords/xml-schema","display_name":"XML Schema (W3C)","score":0.4158025085926056},{"id":"https://openalex.org/keywords/xml-encryption","display_name":"XML Encryption","score":0.3779710829257965},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08866721391677856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8992387056350708},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6788288354873657},{"id":"https://openalex.org/C11508877","wikidata":"https://www.wikidata.org/wiki/Q1124477","display_name":"Efficient XML Interchange","level":3,"score":0.583135187625885},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5730380415916443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5398314595222473},{"id":"https://openalex.org/C55348073","wikidata":"https://www.wikidata.org/wiki/Q595926","display_name":"XML validation","level":3,"score":0.5335111618041992},{"id":"https://openalex.org/C44883583","wikidata":"https://www.wikidata.org/wiki/Q7622687","display_name":"Streaming XML","level":3,"score":0.5249664187431335},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.5245257019996643},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4635421931743622},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44782721996307373},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4253818988800049},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4170498251914978},{"id":"https://openalex.org/C40713593","wikidata":"https://www.wikidata.org/wiki/Q16342","display_name":"XML Schema (W3C)","level":5,"score":0.4158025085926056},{"id":"https://openalex.org/C173242113","wikidata":"https://www.wikidata.org/wiki/Q607488","display_name":"XML Encryption","level":4,"score":0.3779710829257965},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08866721391677856},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4018/jdm.2006070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdm.2006070102","pdf_url":null,"source":{"id":"https://openalex.org/S73024538","display_name":"Journal of Database Management","issn_l":"1063-8016","issn":["1063-8016","1533-8010"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Database Management","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/39709","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/39709","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"},{"id":"pmh:oai:RePEc:igg:jdm000:v:17:y:2006:i:3:p:19-40","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdm.2006070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1515560342","https://openalex.org/W1782867645","https://openalex.org/W1867871389","https://openalex.org/W1981755487","https://openalex.org/W2009481890","https://openalex.org/W2023723062","https://openalex.org/W2038666437","https://openalex.org/W2121313660"],"related_works":["https://openalex.org/W2357844625","https://openalex.org/W2106024890","https://openalex.org/W2536894089","https://openalex.org/W215805633","https://openalex.org/W2189177577","https://openalex.org/W2401139123","https://openalex.org/W2360646659","https://openalex.org/W2590489024","https://openalex.org/W1975413421","https://openalex.org/W1914037376"],"abstract_inverted_index":{"In":[0,16],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5,149],"framework,":[6],"called":[7],"XAR-Miner,":[8,17],"for":[9,56,83],"mining":[10,70,136,154,176],"ARs":[11,105],"from":[12,156],"XML":[13,22,33,47,157,167],"documents":[14,158,168],"efficiently.":[15],"raw":[18],"data":[19,58,123],"in":[20,90,119,147,169],"the":[21,43,46,50,54,68,85,108,131,134,160,175],"document":[23,48],"first":[24],"are":[25,65,72,100],"preprocessed":[26],"to":[27,30,37,67,74,92,102,121,129,171],"transform":[28],"either":[29],"an":[31],"Indexed":[32],"Tree":[34],"(IX-tree)":[35],"or":[36,95],"Multirelational":[38],"Databases":[39],"(Multi-DB),":[40],"depending":[41],"on":[42],"size":[44],"of":[45,53,87,133,152,163,174],"and":[49,60,110,125],"memory":[51],"constraint":[52],"system,":[55],"efficient":[57,146],"selection":[59,124],"AR":[61,69,135,153],"mining.":[62],"Concepts":[63],"that":[64,106,142],"relevant":[66],"task":[71],"generalized":[73,76,98],"produce":[75],"metapatterns.":[77],"A":[78,113],"suitable":[79],"metric":[80],"is":[81,116,144],"devised":[82],"measuring":[84],"degree":[86],"concept":[88],"generalization":[89],"order":[91,120,170],"prevent":[93],"undergeneralization":[94],"overgeneralization.":[96],"Resulting":[97],"metapatterns":[99],"used":[101],"generate":[103],"large":[104,126,150],"meet":[107],"support":[109],"confidence":[111],"levels.":[112],"greedy":[114],"algorithm":[115],"also":[117],"presented":[118],"integrate":[122],"itemset":[127],"generation":[128],"enhance":[130],"efficiency":[132],"process.":[137],"The":[138],"experiments":[139],"conducted":[140],"show":[141],"XAR-Miner":[143],"more":[145],"performing":[148],"number":[151],"tasks":[155],"than":[159],"state-of-the-art":[161],"method":[162],"repetitively":[164],"scanning":[165],"through":[166],"perform":[172],"each":[173],"tasks.":[177]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
