{"id":"https://openalex.org/W2979382992","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858874","title":"Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model","display_name":"Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979382992","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858874","mag":"2979382992"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5100344706","display_name":"Wenlong Wu","orcid":"https://orcid.org/0000-0003-0467-2931"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenlong Wu","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018303984","display_name":"James M. Keller","orcid":"https://orcid.org/0000-0002-0306-7142"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Keller","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013470616","display_name":"Marjorie Skubic","orcid":"https://orcid.org/0000-0002-3801-7639"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marjorie Skubic","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060329217","display_name":"Mihail Popescu","orcid":"https://orcid.org/0000-0002-6145-8096"},"institutions":[{"id":"https://openalex.org/I2800649613","display_name":"University of Missouri Health System","ror":"https://ror.org/03yp8z857","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800649613"]},{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihail Popescu","raw_affiliation_strings":["Health Management and Informatics Department, University of Missouri-Columbia, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Health Management and Informatics Department, University of Missouri-Columbia, Columbia, MO, USA","institution_ids":["https://openalex.org/I2800649613","https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100344706"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78343791,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9947999715805054,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9947999715805054,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9900000095367432,"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/T10057","display_name":"Face and Expression Recognition","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/trajectory","display_name":"Trajectory","score":0.7429018020629883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278598308563232},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6085379123687744},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5167598128318787},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.48524022102355957},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4820490777492523},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47951748967170715},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.44510412216186523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38311082124710083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3703550696372986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32004088163375854},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0798337459564209}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7429018020629883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278598308563232},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6085379123687744},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5167598128318787},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.48524022102355957},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4820490777492523},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47951748967170715},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.44510412216186523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38311082124710083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3703550696372986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32004088163375854},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0798337459564209},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":12,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1546503963","https://openalex.org/W1995450389","https://openalex.org/W2102625004","https://openalex.org/W2120688485","https://openalex.org/W2156955338","https://openalex.org/W2167428023","https://openalex.org/W2550851831","https://openalex.org/W2746095421","https://openalex.org/W2803741174","https://openalex.org/W2896971614","https://openalex.org/W4299345493"],"related_works":["https://openalex.org/W1992295166","https://openalex.org/W2350507978","https://openalex.org/W2143508933","https://openalex.org/W2016260880","https://openalex.org/W3162483426","https://openalex.org/W2055782493","https://openalex.org/W2388204628","https://openalex.org/W2194875745","https://openalex.org/W2386749094","https://openalex.org/W2924917467"],"abstract_inverted_index":{"Data":[0],"stream":[1],"processing":[2],"has":[3],"gained":[4],"much":[5],"attention":[6],"lately,":[7],"in":[8,28,64,89,137,164],"the":[9,37,65,81,90,111,116,138],"era":[10],"of":[11,108,129,161],"big":[12],"data.":[13,31],"Streaming":[14],"clustering":[15],"is":[16,58,73,78,97,143,151],"an":[17],"effective":[18],"tool":[19],"to":[20,25,39,60,84,125,153],"recognize":[21,85],"normal":[22],"baseline":[23],"and":[24,77,115,147,150],"detect":[26,126],"outliers":[27],"sequentially":[29],"presented":[30],"Perhaps":[32],"more":[33],"importantly":[34],"would":[35],"be":[36],"ability":[38],"predict":[40],"that":[41],"incoming":[42],"data":[43,66,91,135],"indicates":[44],"movement":[45],"towards":[46],"a":[47,53],"likely":[48],"anomaly.":[49],"In":[50],"this":[51],"paper,":[52],"Gaussian":[54,101],"Mixture":[55,102],"Model":[56,103],"(GMM)":[57],"employed":[59],"represent":[61],"different":[62],"patterns":[63],"stream.":[67,92,139],"The":[68,93,140],"Sequential":[69,99],"Possibilistic":[70,100],"One-Means":[71],"(SP1M)":[72],"used":[74,121],"for":[75],"initialization,":[76],"incorporated":[79],"into":[80],"GMM":[82],"framework":[83],"new":[86,94],"mixture":[87],"components":[88],"proposed":[95,141],"algorithm":[96],"called":[98],"(SPGMM).":[104],"Furthermore,":[105],"two":[106],"methods":[107],"trajectory":[109],"analysis,":[110],"\u201cmaximum":[112],"typicality":[113],"decline\u201d":[114],"\u201ctrend":[117],"value":[118],"measurement,\u201d":[119],"are":[120],"together":[122],"with":[123],"SPGMM":[124,142],"early":[127,159],"signs":[128,160],"pattern":[130,134,162],"changes":[131,163],"before":[132],"unusual":[133],"arrive":[136],"tested":[144],"on":[145,157],"synthetic":[146],"real-world":[148],"datasets,":[149],"shown":[152],"have":[154],"excellent":[155],"performance":[156],"predicting":[158],"these":[165],"sequential":[166],"streams.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}