{"id":"https://openalex.org/W2897178337","doi":"https://doi.org/10.1145/3207677.3277987","title":"Fast Mining Frequent Page Sets from Web Log by Filtering Strategy","display_name":"Fast Mining Frequent Page Sets from Web Log by Filtering Strategy","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2897178337","doi":"https://doi.org/10.1145/3207677.3277987","mag":"2897178337"},"language":"en","primary_location":{"id":"doi:10.1145/3207677.3277987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277987","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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 2nd International Conference on Computer Science and Application Engineering","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/A5086926899","display_name":"Zhengyu Zhu","orcid":"https://orcid.org/0000-0001-6562-8243"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengyu Zhu","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112125998","display_name":"Qiang Xu","orcid":"https://orcid.org/0000-0003-1381-6060"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Xu","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086926899"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.3821,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6372108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9965999722480774,"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":0.993399977684021,"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":0.7142245173454285},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6552416086196899},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.6070231795310974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6033344268798828},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5494614243507385},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5018167495727539},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4704781174659729},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44385701417922974},{"id":"https://openalex.org/keywords/web-log-analysis-software","display_name":"Web log analysis software","score":0.4384087920188904},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4196149706840515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3884345293045044},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.30667567253112793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2638723850250244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22809383273124695},{"id":"https://openalex.org/keywords/static-web-page","display_name":"Static web page","score":0.17911317944526672},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1407775580883026},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12138250470161438},{"id":"https://openalex.org/keywords/web-navigation","display_name":"Web navigation","score":0.1044757068157196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142245173454285},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6552416086196899},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.6070231795310974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6033344268798828},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5494614243507385},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5018167495727539},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4704781174659729},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44385701417922974},{"id":"https://openalex.org/C104352257","wikidata":"https://www.wikidata.org/wiki/Q1238961","display_name":"Web log analysis software","level":5,"score":0.4384087920188904},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4196149706840515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3884345293045044},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.30667567253112793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2638723850250244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22809383273124695},{"id":"https://openalex.org/C173576120","wikidata":"https://www.wikidata.org/wiki/Q2641220","display_name":"Static web page","level":4,"score":0.17911317944526672},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1407775580883026},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12138250470161438},{"id":"https://openalex.org/C61096286","wikidata":"https://www.wikidata.org/wiki/Q7978592","display_name":"Web navigation","level":3,"score":0.1044757068157196},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3207677.3277987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3207677.3277987","pdf_url":null,"source":{"id":"https://openalex.org/S4306523741","display_name":"Proceedings of the 2nd International Conference on Computer Science and Application Engineering","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 2nd International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W28669376","https://openalex.org/W1484413656","https://openalex.org/W1491984295","https://openalex.org/W1507563471","https://openalex.org/W1849618442","https://openalex.org/W1971823372","https://openalex.org/W1986572138","https://openalex.org/W1990794447","https://openalex.org/W2011103514","https://openalex.org/W2019340385","https://openalex.org/W2045029544","https://openalex.org/W2090817151","https://openalex.org/W2094770144","https://openalex.org/W2096079942","https://openalex.org/W2098268836","https://openalex.org/W2135333448","https://openalex.org/W2143708704","https://openalex.org/W2151953639","https://openalex.org/W2232669376","https://openalex.org/W2330031883","https://openalex.org/W2394309960","https://openalex.org/W2463977740","https://openalex.org/W2484468533","https://openalex.org/W2772881367","https://openalex.org/W4285719527","https://openalex.org/W6601142415","https://openalex.org/W6630272441"],"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/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W3012205960","https://openalex.org/W1483188779"],"abstract_inverted_index":{"Mining1":[0],"frequent":[1,35],"web":[2,6,157],"page":[3,36,47,71],"sets":[4,37,48,72],"from":[5],"log":[7,158],"can":[8],"help":[9],"to":[10,32,45,52,65,102,109,126,132],"understand":[11],"the":[12,24,67,86,104,112,128,136,144],"behaviors":[13],"of":[14,27,69,89,106,130],"users.":[15],"In":[16,85],"this":[17],"paper,":[18],"weight":[19],"is":[20,43,63,100,124,162],"assigned":[21],"dynamically":[22],"with":[23],"dwelling":[25],"time":[26],"users":[28],"on":[29,95,120],"different":[30],"pages":[31],"mine":[33,75],"weighted":[34,54,156],"(WFPS),":[38],"and":[39,73,83,149],"a":[40,91,121],"filtering":[41,61,82,87,92,113,117,137],"strategy":[42,62],"introduced":[44],"eliminate":[46],"which":[49,77],"are":[50,151],"impossible":[51],"be":[53],"frequent.":[55],"An":[56],"improved":[57,97],"algorithm":[58,93,118],"F&T":[59,146],"using":[60],"proposed":[64],"reduce":[66],"quantity":[68],"candidate":[70],"fast":[74],"WFPS,":[76],"contains":[78],"three":[79],"steps:":[80],"preprocessing,":[81],"testing.":[84],"step":[88],"F&T,":[90],"based":[94,119],"an":[96],"Apriori":[98],"(FIA)":[99],"presented":[101],"decrease":[103],"times":[105],"database":[107],"scanning":[108],"speed":[110,134],"up":[111,135],"process.":[114,138],"Then":[115],"another":[116],"WPS-tree":[122],"(FWPS)":[123],"given":[125],"accelerate":[127],"computing":[129],"weights":[131],"further":[133],"The":[139],"experimental":[140],"results":[141],"show":[142],"that":[143],"two":[145],"algorithms":[147],"(F&T_FIA":[148],"F&T_FWPS)":[150],"much":[152],"faster":[153,163],"than":[154,164,172],"existing":[155],"mining":[159],"algorithms.":[160],"F&T_FWPS":[161],"F&T_FIA,":[165],"but":[166],"F&T_FIA":[167],"uses":[168],"less":[169],"memory":[170],"space":[171],"F&T_FWPS.":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}