{"id":"https://openalex.org/W3201893002","doi":"https://doi.org/10.1145/3471287.3471309","title":"Twitter Association Rule Mining using Clustering and Graph Databases","display_name":"Twitter Association Rule Mining using Clustering and Graph Databases","publication_year":2021,"publication_date":"2021-05-27","ids":{"openalex":"https://openalex.org/W3201893002","doi":"https://doi.org/10.1145/3471287.3471309","mag":"3201893002"},"language":"en","primary_location":{"id":"doi:10.1145/3471287.3471309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471287.3471309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Information System and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11311/1186053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032093422","display_name":"Alessandro Campi","orcid":"https://orcid.org/0000-0001-8138-4146"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessandro Campi","raw_affiliation_strings":["Politecnico di Milano,Italia, Italia"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Italia, Italia","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034552139","display_name":"Corrado Palese","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Corrado Palese","raw_affiliation_strings":["Politecnico di Milano,Italia, Italia"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Italia, Italia","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032093422"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55308427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9976000189781189,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7573256492614746},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6597374677658081},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6404101252555847},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5745038986206055},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5649682879447937},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.550261378288269},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5379353761672974},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.51922208070755},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5007734298706055},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.46036115288734436},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4261711537837982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35715973377227783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11836427450180054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573256492614746},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6597374677658081},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6404101252555847},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5745038986206055},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5649682879447937},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.550261378288269},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5379353761672974},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.51922208070755},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5007734298706055},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.46036115288734436},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4261711537837982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35715973377227783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11836427450180054},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3471287.3471309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471287.3471309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 the 5th International Conference on Information System and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1186053","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1186053","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1186053","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1186053","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3796392728","display_name":null,"funder_award_id":"693174","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1534625513","https://openalex.org/W1539585011","https://openalex.org/W1541742946","https://openalex.org/W1942884131","https://openalex.org/W2015186536","https://openalex.org/W2021651899","https://openalex.org/W2040263621","https://openalex.org/W2913650309","https://openalex.org/W4245067498","https://openalex.org/W6639034052"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W3121970507","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W3012205960"],"abstract_inverted_index":{"In":[0,111],"this":[1,8,53,65,126,196],"scenario,":[2],"the":[3,88,132,172,176,193,224,245],"need":[4],"to":[5,182,199,208,217,243],"efficiently":[6],"analyze":[7,220],"kind":[9,127],"of":[10,15,17,50,128,134,139,143,150,163,185,192,195],"data":[11,202],"is":[12,67,95,159,198],"increasing":[13],"because":[14,104,118,160],"characteristics":[16],"such":[18],"big":[19],"data,":[20],"especially":[21],"their":[22,80,165],"huge":[23,212],"and":[24,37,82,171,219,223,236],"sometimes":[25],"unpredictable":[26],"variety.":[27],"Twitter":[28,158],"alone,":[29],"with":[30,210,228],"320":[31],"M":[32,41],"active":[33],"users":[34],"every":[35],"month":[36],"more":[38],"than":[39,100],"500":[40],"tweets":[42],"per":[43],"day,":[44],"could":[45],"represent":[46],"an":[47],"important":[48],"source":[49],"information.":[51],"For":[52],"research,":[54],"we":[55,113,156],"are":[56,70],"focusing":[57,188],"solely":[58],"on":[59,116,189],"social":[60,177],"networks.":[61],"The":[62],"reason":[63,154],"for":[64,125,214],"choice":[66],"that":[68,179],"they":[69],"increasingly":[71],"becoming":[72],"a":[73,135,240],"platform":[74],"where":[75],"people":[76],"will":[77,114],"comfortably":[78],"update":[79],"status":[81],"share":[83],"or":[84],"retrieve":[85],"information":[86,216],"about":[87],"world":[89],"in":[90,101,141,167,232,238],"real":[91],"time.":[92],"Often":[93],"news":[94],"spreading":[96,173],"through":[97,175],"them":[98],"faster":[99],"traditional":[102],"channels":[103],"user":[105],"capillarity":[106],"worldwide":[107],"makes":[108,122],"it":[109,123],"possible.":[110],"particular,":[112],"focus":[115],"Twitter,":[117],"its":[119],"micro-blogging":[120],"nature":[121],"suitable":[124],"purpose.":[129],"It":[130],"questions":[131],"concept":[133],"small":[136],"private":[137],"community":[138],"friends":[140],"favor":[142],"less":[144,146],"private,":[145],"personal":[147],"broadcast":[148],"communications":[149],"common":[151],"interest.":[152],"Another":[153],"why":[155],"chose":[157],"semantic":[161],"value":[162],"hashtags,":[164],"power":[166],"summarizing":[168],"tweet":[169],"content":[170],"model":[174],"network":[178],"allows":[180],"us":[181],"highlight":[183],"clusters":[184],"topics":[186,222],"by":[187],"these":[190,211],"tags.One":[191],"objectives":[194],"thesis":[197],"show":[200],"how":[201],"mining":[203],"can":[204],"provide":[205],"useful":[206],"techniques":[207],"deal":[209],"datasets":[213],"retrieving":[215],"detect":[218],"trending":[221],"corresponding":[225],"user's":[226],"interactions":[227],"them.":[229],"We":[230],"identified":[231],"Association":[233],"Rules":[234],"identification":[235],"evolution":[237],"time,":[239],"systematic":[241],"approach":[242],"conduct":[244],"analysis.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}