{"id":"https://openalex.org/W2038844724","doi":"https://doi.org/10.1109/vast.2014.7042572","title":"NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3)","display_name":"NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3)","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2038844724","doi":"https://doi.org/10.1109/vast.2014.7042572","mag":"2038844724"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2014.7042572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5002279044","display_name":"Fabian Fischer","orcid":"https://orcid.org/0009-0003-1761-2601"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fabian Fischer","raw_affiliation_strings":["University of Konstanz"],"affiliations":[{"raw_affiliation_string":"University of Konstanz","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062766883","display_name":"Florian Stoffel","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Stoffel","raw_affiliation_strings":["University of Konstanz"],"affiliations":[{"raw_affiliation_string":"University of Konstanz","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002279044"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.4943,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69495102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9854999780654907,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9807000160217285,"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/computer-science","display_name":"Computer science","score":0.8530673980712891},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7583738565444946},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.677696943283081},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6763802766799927},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6688998937606812},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6361423134803772},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6261732578277588},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.602131724357605},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5935688018798828},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5848654508590698},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.476362943649292},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4484281539916992},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4483736753463745},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4235963523387909},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3815498948097229},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.33050161600112915},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19490790367126465},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16857114434242249},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14732477068901062},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10178142786026001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530673980712891},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7583738565444946},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.677696943283081},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6763802766799927},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6688998937606812},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6361423134803772},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6261732578277588},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.602131724357605},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5935688018798828},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5848654508590698},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.476362943649292},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4484281539916992},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4483736753463745},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4235963523387909},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3815498948097229},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.33050161600112915},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19490790367126465},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16857114434242249},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14732477068901062},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10178142786026001},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast.2014.7042572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.691.2412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.691.2412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bib.dbvis.de/uploadedFiles/ukonmc3.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2124130656"],"related_works":["https://openalex.org/W4360995307","https://openalex.org/W2167004500","https://openalex.org/W2059461309","https://openalex.org/W1572762191","https://openalex.org/W2375516608","https://openalex.org/W2106570241","https://openalex.org/W3207785250","https://openalex.org/W4382459699","https://openalex.org/W6445124","https://openalex.org/W1994168535"],"abstract_inverted_index":{"To":[0],"solve":[1,123],"the":[2,65,70,109,124],"VAST":[3],"Challenge":[4],"2014":[5],"MC3":[6],"we":[7,50],"use":[8,23,44],"NStreamAware,":[9],"which":[10,80],"is":[11],"our":[12],"real-time":[13],"visual":[14,46],"analytics":[15,47],"system":[16],"to":[17,33,57,63,67,104,121],"analyze":[18,58],"data":[19,61],"streams.":[20],"We":[21,75,113],"make":[22],"of":[24,108],"various":[25,98],"modern":[26],"technologies":[27,40],"like":[28,95],"Apache":[29],"Spark":[30],"and":[31,37,41,59,89],"others":[32],"provide":[34],"high":[35],"scalability":[36],"incorporate":[38],"new":[39],"show":[42,114],"their":[43],"within":[45],"applications.":[48],"Furthermore,":[49],"developed":[51],"a":[52,86,93],"web":[53],"application,":[54],"called":[55],"NVisAware,":[56],"visualize":[60],"streams":[62],"help":[64],"analyst":[66],"focus":[68],"on":[69,85],"most":[71],"important":[72],"time":[73,111],"segments.":[74],"extracted":[76],"so-called":[77],"sliding":[78,87],"slices,":[79],"are":[81],"aggregated":[82],"summaries":[83],"calculated":[84],"window":[88],"represent":[90],"them":[91],"in":[92],"small-multiple":[94],"visualization":[96],"containing":[97],"small":[99],"visualizations":[100],"(e.g.,":[101],"word":[102],"clouds)":[103],"present":[105],"an":[106],"overview":[107],"current":[110],"segment.":[112],"how":[115],"these":[116],"techniques":[117],"can":[118],"be":[119],"used":[120],"successfully":[122],"given":[125],"tasks.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
