{"id":"https://openalex.org/W1998029376","doi":"https://doi.org/10.1145/2806416.2806501","title":"Unsupervised Streaming Feature Selection in Social Media","display_name":"Unsupervised Streaming Feature Selection in Social Media","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W1998029376","doi":"https://doi.org/10.1145/2806416.2806501","mag":"1998029376"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jundong Li","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA","Arizona State University , Tempe , AZ , USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Yahoo! Labs, Sunnyvale, CA, USA","Yahoo! Labs., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Labs., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA","Arizona State University , Tempe , AZ , USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029588473"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":24.7031,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.99375051,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1041","last_page":"1050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9923999905586243,"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":0.9923999905586243,"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":0.9890999794006348,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018661737442017},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7889091968536377},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.689098060131073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6355370283126831},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6161933541297913},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5233855843544006},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.49433302879333496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46638989448547363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45750948786735535},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4487065076828003},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.43823572993278503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42601677775382996},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3378313481807709},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.153263658285141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018661737442017},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7889091968536377},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.689098060131073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6355370283126831},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6161933541297913},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5233855843544006},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.49433302879333496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46638989448547363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45750948786735535},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4487065076828003},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.43823572993278503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42601677775382996},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3378313481807709},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.153263658285141},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2806416.2806501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.372","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.public.asu.edu/%7Ejundongl/paper/CIKM15_USFS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W141062567","https://openalex.org/W1500895378","https://openalex.org/W1565746575","https://openalex.org/W1581499779","https://openalex.org/W1619226191","https://openalex.org/W1680014149","https://openalex.org/W1701167349","https://openalex.org/W1887132526","https://openalex.org/W1949281989","https://openalex.org/W1965970389","https://openalex.org/W1968434954","https://openalex.org/W1980595271","https://openalex.org/W1982944175","https://openalex.org/W1997863462","https://openalex.org/W2009501510","https://openalex.org/W2020652789","https://openalex.org/W2046253692","https://openalex.org/W2095293504","https://openalex.org/W2102111939","https://openalex.org/W2107107106","https://openalex.org/W2109306884","https://openalex.org/W2117487426","https://openalex.org/W2121007818","https://openalex.org/W2122825543","https://openalex.org/W2128873747","https://openalex.org/W2130354913","https://openalex.org/W2131987814","https://openalex.org/W2135046866","https://openalex.org/W2143426320","https://openalex.org/W2149620660","https://openalex.org/W2154053567","https://openalex.org/W2158933803","https://openalex.org/W2171837816","https://openalex.org/W2296319761","https://openalex.org/W2298365720","https://openalex.org/W2963951026","https://openalex.org/W2997546679","https://openalex.org/W3012507292","https://openalex.org/W6637461618","https://openalex.org/W6637808306","https://openalex.org/W6639167513","https://openalex.org/W6640718358","https://openalex.org/W6675388881","https://openalex.org/W6676274861","https://openalex.org/W6677853180","https://openalex.org/W6681822384","https://openalex.org/W6697498494"],"related_works":["https://openalex.org/W1440043730","https://openalex.org/W4232432449","https://openalex.org/W2752017774","https://openalex.org/W2770020120","https://openalex.org/W2309196980","https://openalex.org/W4386456676","https://openalex.org/W4200138770","https://openalex.org/W4376057441","https://openalex.org/W2549815070","https://openalex.org/W2497957145"],"abstract_inverted_index":{"The":[0,25],"explosive":[1],"growth":[2],"of":[3,11,27,73,94,107,196],"social":[4,28,37,95,134,159,188],"media":[5,29,38,135,160,189],"sites":[6],"brings":[7],"about":[8],"massive":[9],"amounts":[10],"high-dimensional":[12,20],"data.":[13,161],"Feature":[14],"selection":[15,84,109,157,180,206],"is":[16,40,76,99,131],"effective":[17],"in":[18,57,133,140,169,174],"preparing":[19],"data":[21,23,39,125],"for":[22,33,127,158],"analytics.":[24],"characteristics":[26],"present":[30,122],"novel":[31,150,176],"challenges":[32],"feature":[34,83,108,112,156,171,179,205],"selection.":[35],"First,":[36],"not":[41,49],"fully":[42],"structured":[43],"and":[44,65,136,194],"its":[45],"features":[46],"are":[47,52,62,119],"usually":[48],"predefined,":[50],"but":[51],"generated":[53],"dynamically.":[54],"For":[55],"example,":[56,128],"Twitter,":[58],"slang":[59],"words":[60],"(features)":[61],"created":[63],"everyday":[64],"quickly":[66],"become":[67],"popular":[68],"within":[69],"a":[70,149,175],"short":[71],"period":[72],"time.":[74],"It":[75,103],"hard":[77],"to":[78,86,101,152,165],"directly":[79],"apply":[80],"traditional":[81],"batch-mode":[82],"methods":[85],"find":[87],"such":[88],"features.":[89,143],"Second,":[90],"given":[91],"the":[92,105,115,192,197,202],"nature":[93],"media,":[96],"label":[97],"information":[98,130,168],"costly":[100],"collect.":[102],"exacerbates":[104],"problem":[106,151],"without":[110],"knowing":[111],"relevance.":[113],"On":[114],"other":[116],"hand,":[117],"opportunities":[118],"also":[120],"unequivocally":[121],"with":[123,201],"additional":[124],"sources;":[126],"link":[129,167],"ubiquitous":[132],"could":[137],"be":[138],"helpful":[139],"selecting":[141],"relevant":[142],"In":[144],"this":[145],"paper,":[146],"we":[147],"study":[148],"conduct":[153],"unsupervised":[154,177,204],"streaming":[155,170,178],"We":[162],"investigate":[163],"how":[164],"exploit":[166],"selection,":[172],"resulting":[173],"framework":[181,199],"USFS.":[182],"Experimental":[183],"results":[184],"on":[185],"two":[186],"real-world":[187],"datasets":[190],"show":[191],"effectiveness":[193],"efficiency":[195],"proposed":[198],"comparing":[200],"state-of-the-art":[203],"algorithms.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
