{"id":"https://openalex.org/W2122966629","doi":"https://doi.org/10.1109/icdm.2002.1184050","title":"Visually mining Web user clickpaths","display_name":"Visually mining Web user clickpaths","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2122966629","doi":"https://doi.org/10.1109/icdm.2002.1184050","mag":"2122966629"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2002.1184050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1184050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","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/A5037803593","display_name":"Teresa Mah","orcid":null},"institutions":[{"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":["US"],"is_corresponding":true,"raw_author_name":"T. Mah","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA","Microsoft Corporation Redmond,WA,USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corporation Redmond,WA,USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414133","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-0835-7368"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA","Microsoft Corporation Redmond,WA,USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corporation Redmond,WA,USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037803593"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.7666,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85641426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"771","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9986000061035156,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9986000061035156,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9936000108718872,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9884999990463257,"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/visualization","display_name":"Visualization","score":0.8659622669219971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8088727593421936},{"id":"https://openalex.org/keywords/weaving","display_name":"Weaving","score":0.7334409952163696},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5724548101425171},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5610471367835999},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5028175711631775},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.49927759170532227},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.49033570289611816},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4887668788433075},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48574119806289673},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4033855199813843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3366253077983856},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11435654759407043}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8659622669219971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088727593421936},{"id":"https://openalex.org/C54525549","wikidata":"https://www.wikidata.org/wiki/Q2553445","display_name":"Weaving","level":2,"score":0.7334409952163696},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5724548101425171},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5610471367835999},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5028175711631775},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.49927759170532227},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.49033570289611816},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4887668788433075},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48574119806289673},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4033855199813843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366253077983856},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11435654759407043},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdm.2002.1184050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2002.1184050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Conference on Data Mining, 2002. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W308338081","https://openalex.org/W1567056755","https://openalex.org/W2063771604","https://openalex.org/W2074047175","https://openalex.org/W2087221762","https://openalex.org/W2145557708","https://openalex.org/W6610912373","https://openalex.org/W6633916656"],"related_works":["https://openalex.org/W2013467770","https://openalex.org/W4246764483","https://openalex.org/W2138584026","https://openalex.org/W2156440763","https://openalex.org/W3215871094","https://openalex.org/W2014215324","https://openalex.org/W2112083262","https://openalex.org/W2105200106","https://openalex.org/W1559188619","https://openalex.org/W1938514595"],"abstract_inverted_index":{"As":[0],"powerful":[1,38],"as":[2],"clickpath":[3,19,41,62,71,87,126,145],"mining":[4,20,42,63],"methods":[5],"can":[6,46,69],"be,":[7],"they":[8],"often":[9],"lead":[10],"to":[11,32,120],"huge":[12],"incomprehensible":[13],"and":[14,58,130],"non-interesting":[15],"result":[16],"sets.":[17],"Our":[18],"practice":[21],"at":[22],"MSN":[23],"was":[24],"faced":[25],"with":[26],"challenges":[27,51],"of":[28,55,61,86,94,106,124,142],"keeping":[29],"analysts":[30],"closer":[31],"the":[33,53,97,103,110,122,140],"data":[34],"exploration":[35],"process,":[36],"revealing":[37],"insight":[39],"from":[40,128,139],"that":[43,68,136],"business":[44],"owners":[45],"directly":[47],"act":[48],"upon.":[49],"These":[50],"stressed":[52],"importance":[54],"an":[56],"interactive":[57],"visual":[59],"representation":[60],"results.":[64],"Most":[65],"products":[66],"today":[67],"perform":[70],"visualization":[72,88,98,115],"do":[73],"so":[74],"by":[75],"presenting":[76],"massive":[77],"cross-weaving":[78],"web":[79],"graphs.":[80],"We":[81,112],"present":[82],"a":[83,132],"new":[84],"type":[85],"which":[89],"focuses":[90],"only":[91],"on":[92],"clickpaths":[93],"interest,":[95],"simplifying":[96],"space":[99],"while":[100],"still":[101],"retaining":[102],"same":[104],"degree":[105],"mineable":[107],"knowledge":[108],"in":[109],"data.":[111],"also":[113],"describe":[114],"techniques":[116],"we":[117],"have":[118],"used":[119],"enhance":[121],"detection":[123],"interesting":[125],"patterns":[127],"data,":[129],"provide":[131],"real-life":[133],"case":[134],"study":[135],"has":[137],"benefited":[138],"use":[141],"our":[143],"implemented":[144],"visualizer":[146],"PAVE.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}