{"id":"https://openalex.org/W2743003917","doi":"https://doi.org/10.1145/3106426.3106542","title":"Bitwise parallel association rule mining for web page recommendation","display_name":"Bitwise parallel association rule mining for web page recommendation","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2743003917","doi":"https://doi.org/10.1145/3106426.3106542","mag":"2743003917"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106542","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-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/A5016113718","display_name":"Carson K. Leung","orcid":"https://orcid.org/0000-0002-7541-9127"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Carson K. Leung","raw_affiliation_strings":["University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688754","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0002-1641-5804"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006729336","display_name":"Adam G.M. Pazdor","orcid":"https://orcid.org/0000-0001-9777-0084"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Adam G. M. Pazdor","raw_affiliation_strings":["University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016113718"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":4.2135,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95918367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"662","last_page":"669"},"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":0.9782000184059143,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9742000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.8951461315155029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.802780032157898},{"id":"https://openalex.org/keywords/web-mining","display_name":"Web mining","score":0.732370913028717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5917220711708069},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.5771327614784241},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5507656931877136},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.4757266342639923},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4560016691684723},{"id":"https://openalex.org/keywords/web-analytics","display_name":"Web analytics","score":0.421150267124176},{"id":"https://openalex.org/keywords/web-intelligence","display_name":"Web intelligence","score":0.41231685876846313},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.40779027342796326},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3710157871246338},{"id":"https://openalex.org/keywords/web-modeling","display_name":"Web modeling","score":0.3476240634918213}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8951461315155029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802780032157898},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.732370913028717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5917220711708069},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.5771327614784241},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5507656931877136},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.4757266342639923},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4560016691684723},{"id":"https://openalex.org/C516187249","wikidata":"https://www.wikidata.org/wiki/Q10719477","display_name":"Web analytics","level":5,"score":0.421150267124176},{"id":"https://openalex.org/C544335954","wikidata":"https://www.wikidata.org/wiki/Q2553348","display_name":"Web intelligence","level":4,"score":0.41231685876846313},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40779027342796326},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3710157871246338},{"id":"https://openalex.org/C130436687","wikidata":"https://www.wikidata.org/wiki/Q7978591","display_name":"Web modeling","level":3,"score":0.3476240634918213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106542","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482810056","https://openalex.org/W1484413656","https://openalex.org/W1498871448","https://openalex.org/W1506285740","https://openalex.org/W1531236944","https://openalex.org/W1794915560","https://openalex.org/W1968355443","https://openalex.org/W2004748427","https://openalex.org/W2036147130","https://openalex.org/W2064853889","https://openalex.org/W2093456341","https://openalex.org/W2095616967","https://openalex.org/W2099404336","https://openalex.org/W2102589938","https://openalex.org/W2162342083","https://openalex.org/W2276557110","https://openalex.org/W2285011720","https://openalex.org/W2287495532","https://openalex.org/W2545356923","https://openalex.org/W2575255383","https://openalex.org/W2575557354","https://openalex.org/W2676841717","https://openalex.org/W2746015747","https://openalex.org/W4249787843","https://openalex.org/W4252403066"],"related_works":["https://openalex.org/W3174726539","https://openalex.org/W2182629206","https://openalex.org/W2622968908","https://openalex.org/W3139873369","https://openalex.org/W2744329849","https://openalex.org/W2189570631","https://openalex.org/W2053028965","https://openalex.org/W1861234877","https://openalex.org/W58235081","https://openalex.org/W2613619581"],"abstract_inverted_index":{"For":[0],"many":[1,59,62],"real-life":[2,211],"web":[3,5,16,45,170,199,203,212],"applications,":[4],"surfers":[6,200],"would":[7,19],"like":[8],"to":[9,22,31,140,209],"get":[10],"recommendation":[11,173,201],"on":[12,191],"which":[13,194],"collections":[14],"of":[15,58,76,117,122,126,129,157,184,202],"pages":[17,190,204],"that":[18,25,205],"be":[20,207],"interested":[21,208],"them":[23],"or":[24,44],"they":[26,104],"should":[27],"follow.":[28],"In":[29],"order":[30],"discover":[32],"this":[33,175],"information":[34],"and":[35,95,143,172,182],"make":[36],"recommendation,":[37],"data":[38,128,141,145,152],"mining---and":[39],"specially,":[40],"association":[41,52,63,77,165],"rule":[42,53,64,166],"mining":[43,54,65,97,167,171],"mining---is":[46],"in":[47,114,174,195],"demand.":[48],"Since":[49],"its":[50],"introduction,":[51],"has":[55],"drawn":[56],"attention":[57],"researchers.":[60],"Consequently,":[61],"algorithms":[66,83,101],"have":[67],"been":[68],"proposed":[69],"for":[70,169],"finding":[71],"interesting":[72],"relationships---in":[73],"the":[74,115,155,180,192,198],"form":[75],"rules---among":[78],"frequently":[79],"occurring":[80],"patterns.":[81],"These":[82],"include":[84],"level-wise":[85],"Apriori-based":[86],"algorithms,":[87,89,94,159],"tree-based":[88],"hyperlinked":[90],"array":[91],"structure":[92],"based":[93],"vertical":[96],"algorithms.":[98],"While":[99],"these":[100,150],"are":[102,112],"popular,":[103],"suffer":[105],"from":[106],"some":[107],"drawbacks.":[108],"Moreover,":[109],"as":[110],"we":[111,160],"living":[113],"era":[116],"big":[118,144,151],"data,":[119],"high":[120,135],"volumes":[121],"a":[123,134,162],"wide":[124],"variety":[125],"valuable":[127],"different":[130],"veracity":[131],"collected":[132],"at":[133],"velocity":[136],"post":[137],"another":[138],"challenges":[139],"science":[142],"analytics.":[146],"To":[147],"deal":[148],"with":[149],"while":[153],"avoiding":[154],"drawbacks":[156],"existing":[158],"present":[161],"bitwise":[163],"parallel":[164,186],"system":[168],"paper.":[176],"Evaluation":[177],"results":[178],"show":[179],"effectiveness":[181],"practicality":[183],"our":[185],"algorithm---which":[187],"discovers":[188],"popular":[189],"web,":[193],"turn":[196],"gives":[197],"might":[206],"them---in":[210],"applications.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
