{"id":"https://openalex.org/W1998441453","doi":"https://doi.org/10.1109/iscc.2008.4625751","title":"Probability Density Estimation over evolving data streams using Tilted Parzen Window","display_name":"Probability Density Estimation over evolving data streams using Tilted Parzen Window","publication_year":2008,"publication_date":"2008-07-01","ids":{"openalex":"https://openalex.org/W1998441453","doi":"https://doi.org/10.1109/iscc.2008.4625751","mag":"1998441453"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2008.4625751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2008.4625751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computers and Communications","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/A5070128994","display_name":"Hong Shen","orcid":"https://orcid.org/0000-0002-3663-6591"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Shen","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology of China, China","[Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei]","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024427304","display_name":"Xiaolong Yan","orcid":"https://orcid.org/0000-0002-0395-8973"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Long Yan","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology of China, China","[Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei]","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070128994"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.7332,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74444283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":null,"first_page":"585","last_page":"589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9983000159263611,"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":0.9980000257492065,"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/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7768961191177368},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7632937431335449},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.7218583226203918},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.6865547895431519},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6779220700263977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565850973129272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4431193470954895},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4200921058654785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32686710357666016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29239165782928467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20479503273963928}],"concepts":[{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7768961191177368},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7632937431335449},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.7218583226203918},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.6865547895431519},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6779220700263977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565850973129272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4431193470954895},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4200921058654785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32686710357666016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29239165782928467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20479503273963928},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc.2008.4625751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2008.4625751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computers and Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/54528","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/54528","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/iscc.2008.4625751","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W242992926","https://openalex.org/W1515347377","https://openalex.org/W1949687736","https://openalex.org/W2001474264","https://openalex.org/W2100369465","https://openalex.org/W2117487426","https://openalex.org/W2129865410","https://openalex.org/W2170936641","https://openalex.org/W6630649040","https://openalex.org/W6650951000"],"related_works":["https://openalex.org/W1482149696","https://openalex.org/W2351755528","https://openalex.org/W2977337932","https://openalex.org/W2465871978","https://openalex.org/W2144201579","https://openalex.org/W4240479520","https://openalex.org/W1528102763","https://openalex.org/W2585385340","https://openalex.org/W1569550976","https://openalex.org/W4297926828"],"abstract_inverted_index":{"Probability":[0],"density":[1,44,91,120],"estimation":[2],"is":[3,62,83],"a":[4,34,84,100],"very":[5],"important":[6],"technology":[7],"which":[8],"has":[9],"been":[10],"widely":[11],"used":[12],"in":[13,108],"data":[14,17,30,53,95,107,109,133],"mining":[15],"and":[16,32,138],"analysis.":[18],"In":[19],"this":[20,114,141],"paper,":[21],"we":[22,55],"generalize":[23],"the":[24,49,52,57,70,78,89,105,118,125,136],"traditional":[25],"Parzen":[26,39,80],"window":[27,40,59,72,81],"method":[28,36,82,86],"to":[29,48,64],"streams":[31],"propose":[33,99],"new":[35,101],"of":[37,51,69,140],"tilted":[38,58,79],"(TPW)":[41],"for":[42,87,94,103],"probability":[43,90,119],"estimation.":[45],"To":[46],"adapt":[47],"evolvement":[50],"streams,":[54],"use":[56],"size":[60],"that":[61,77,113],"proportional":[63],"datapsilas":[65],"arrival":[66],"time":[67],"instead":[68],"fixed":[71],"size.":[73],"Theoretical":[74],"analysis":[75],"shows":[76],"valid":[85],"estimating":[88],"function":[92],"(pdf)":[93],"streams.":[96,110],"We":[97,111],"also":[98],"strategy":[102,115],"discarding":[104,127],"historical":[106],"prove":[112],"can":[116],"describe":[117],"changes":[121],"more":[122],"accurately":[123],"than":[124],"conventional":[126],"strategy.":[128],"Empirical":[129],"results":[130],"on":[131],"synthetic":[132],"set":[134],"demonstrate":[135],"effectiveness":[137],"efficiency":[139],"method.":[142]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}