{"id":"https://openalex.org/W2019882748","doi":"https://doi.org/10.1198/004017007000000308","title":"Analysis of Data Streams: Computational and Algorithmic Challenges","display_name":"Analysis of Data Streams: Computational and Algorithmic Challenges","publication_year":2007,"publication_date":"2007-07-19","ids":{"openalex":"https://openalex.org/W2019882748","doi":"https://doi.org/10.1198/004017007000000308","mag":"2019882748"},"language":"en","primary_location":{"id":"doi:10.1198/004017007000000308","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017007000000308","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","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/A5042502878","display_name":"Anna C. Gilbert","orcid":"https://orcid.org/0000-0002-9627-9274"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. C Gilbert","raw_affiliation_strings":["Department of Mathematics, University of Michigan, Ann Arbor, MI 48109"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Michigan, Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028623121","display_name":"Michael Strauss","orcid":"https://orcid.org/0000-0003-3721-163X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. J Strauss","raw_affiliation_strings":["Department of Mathematics, University of Michigan, Ann Arbor, MI 48109"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Michigan, Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042502878"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.4489,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85351951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"49","issue":"3","first_page":"346","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.995199978351593,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6822390556335449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345167756080627},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.41938483715057373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28950467705726624}],"concepts":[{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6822390556335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345167756080627},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.41938483715057373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28950467705726624},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/004017007000000308","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017007000000308","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1543241987","https://openalex.org/W1583497601","https://openalex.org/W1761167196","https://openalex.org/W1965972569","https://openalex.org/W1975680434","https://openalex.org/W1986931325","https://openalex.org/W1988624553","https://openalex.org/W2000302095","https://openalex.org/W2019247511","https://openalex.org/W2047424291","https://openalex.org/W2080745194","https://openalex.org/W2098662489","https://openalex.org/W2107917944","https://openalex.org/W2114147096","https://openalex.org/W2119796071","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2154304330","https://openalex.org/W2156943642","https://openalex.org/W2158537680","https://openalex.org/W2167973519","https://openalex.org/W2170929819","https://openalex.org/W2296616510","https://openalex.org/W3105340263","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2010317732","https://openalex.org/W2061705145","https://openalex.org/W2483328176","https://openalex.org/W193205649","https://openalex.org/W2009222245","https://openalex.org/W1982793386","https://openalex.org/W2016919266","https://openalex.org/W2537623333","https://openalex.org/W4293083682"],"abstract_inverted_index":{"Over":[0],"the":[1,80,103],"past":[2],"15":[3],"years,":[4],"our":[5,16],"ability":[6],"to":[7,18],"collect":[8],"massive":[9,56],"data":[10,26,57,76],"sets":[11,27],"has":[12,28],"increased":[13],"dramatically.":[14],"Concomitantly,":[15],"need":[17],"process,":[19],"compress,":[20],"store,":[21],"analyze,":[22],"and":[23,35,46,63,67,79,99],"summarize":[24],"these":[25,43,84],"grown":[29],"as":[30],"well.":[31],"Scientific,":[32],"engineering,":[33],"medical,":[34],"industrial":[36],"applications":[37],"require":[38],"that":[39,83],"we":[40],"carry":[41],"out":[42],"tasks":[44],"efficiently":[45],"reasonably":[47],"accurately.":[48],"Data":[49],"streams":[50],"are":[51],"one":[52],"type":[53],"of":[54,75,95,102],"modern":[55],"sets,":[58],"characterized":[59],"by":[60,64],"their":[61,65],"size":[62],"distributed":[66],"dynamic":[68],"properties.":[69],"We":[70],"give":[71],"an":[72,93],"expository":[73],"discussion":[74,101],"stream":[77],"models":[78,85],"algorithmic":[81],"challenges":[82,105],"pose":[86],"for":[87],"computational":[88,104],"statistical":[89],"analysis,":[90],"then":[91],"present":[92],"overview":[94],"three":[96],"streaming":[97],"algorithms":[98],"a":[100],"with":[106],"each.":[107]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}