{"id":"https://openalex.org/W2259448304","doi":"https://doi.org/10.14778/2733004.2733045","title":"Interactive outlier exploration in big data streams","display_name":"Interactive outlier exploration in big data streams","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2259448304","doi":"https://doi.org/10.14778/2733004.2733045","mag":"2259448304"},"language":"en","primary_location":{"id":"doi:10.14778/2733004.2733045","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733004.2733045","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5049926126","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0001-9909-8607"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024939495","display_name":"Wang Qingyang","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyang Wang","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke A. Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049926126"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":5.9199,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96315229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"13","first_page":"1621","last_page":"1624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9922999739646912,"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/outlier","display_name":"Outlier","score":0.8302267789840698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932307720184326},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7706351280212402},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6524749994277954},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.630639374256134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5770910978317261},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.50621098279953},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.5014069080352783},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39995741844177246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26104897260665894},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0654359757900238}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8302267789840698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932307720184326},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7706351280212402},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6524749994277954},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.630639374256134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5770910978317261},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.50621098279953},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5014069080352783},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39995741844177246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26104897260665894},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0654359757900238}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/2733004.2733045","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733004.2733045","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.642.4870","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.4870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol7/p1621-cao.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1530232915","https://openalex.org/W1552339598","https://openalex.org/W1986332411","https://openalex.org/W2000219982","https://openalex.org/W2030322298","https://openalex.org/W2047992088","https://openalex.org/W2060952812","https://openalex.org/W2067914441","https://openalex.org/W2099395665","https://openalex.org/W2100832675","https://openalex.org/W2110784166","https://openalex.org/W2129281431","https://openalex.org/W2144182447","https://openalex.org/W2152576712","https://openalex.org/W2169620084","https://openalex.org/W4253461361","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W1595351371","https://openalex.org/W2606848831","https://openalex.org/W2950134958","https://openalex.org/W1582424504","https://openalex.org/W3205198673","https://openalex.org/W2964556660","https://openalex.org/W2029968811","https://openalex.org/W2548275785","https://openalex.org/W2358680427","https://openalex.org/W2548218624"],"abstract_inverted_index":{"We":[0],"demonstrate":[1,66],"our":[2],"VSOutlier":[3,15,69],"system":[4,70],"for":[5],"supporting":[6],"interactive":[7,40],"exploration":[8],"of":[9,22,39,82],"outliers":[10,44],"in":[11,45,84],"big":[12],"data":[13],"streams.":[14,93],"not":[16],"only":[17],"supports":[18],"a":[19,36],"rich":[20,37],"variety":[21],"outlier":[23,30],"types":[24],"supported":[25],"by":[26],"innovative":[27],"and":[28,58,78],"efficient":[29],"detection":[31],"strategies,":[32],"but":[33],"also":[34],"provides":[35],"set":[38],"interfaces":[41],"to":[42,73,80,90],"explore":[43],"real":[46],"time.":[47],"Using":[48],"the":[49,54,59,68],"stock":[50,56],"transactions":[51],"dataset":[52,62],"from":[53,63],"US":[55],"market":[57],"moving":[60],"objects":[61],"MITRE,":[64],"we":[65],"that":[67],"enables":[71],"analysts":[72],"more":[74],"efficiently":[75],"identify,":[76],"understand,":[77],"respond":[79],"phenomena":[81],"interest":[83],"near":[85],"real-time":[86],"even":[87],"when":[88],"applied":[89],"high":[91],"volume":[92]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
