{"id":"https://openalex.org/W2960459435","doi":"https://doi.org/10.3390/e21070699","title":"Multivariate Pointwise Information-Driven Data Sampling and Visualization","display_name":"Multivariate Pointwise Information-Driven Data Sampling and Visualization","publication_year":2019,"publication_date":"2019-07-16","ids":{"openalex":"https://openalex.org/W2960459435","doi":"https://doi.org/10.3390/e21070699","mag":"2960459435","pmid":"https://pubmed.ncbi.nlm.nih.gov/33267413"},"language":"en","primary_location":{"id":"doi:10.3390/e21070699","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21070699","pdf_url":"https://www.mdpi.com/1099-4300/21/7/699/pdf?version=1563266956","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/21/7/699/pdf?version=1563266956","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Soumya Dutta","orcid":"https://orcid.org/0000-0001-5030-9979"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soumya Dutta","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM 87545, USA"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM 87545, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ayan Biswas","orcid":null},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayan Biswas","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM 87545, USA"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM 87545, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":null,"display_name":"James Ahrens","orcid":null},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Ahrens","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM 87545, USA"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM 87545, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.9195,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79168309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"7","first_page":"699","last_page":"699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.676800012588501,"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":0.676800012588501,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.03629999980330467,"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/T11106","display_name":"Data Management and Algorithms","score":0.02969999983906746,"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/automatic-summarization","display_name":"Automatic summarization","score":0.892300009727478},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.7714999914169312},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6083999872207642},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48249998688697815},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46309998631477356},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.42160001397132874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41920000314712524},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.3578000068664551}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.892300009727478},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.7714999914169312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6978999972343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843000054359436},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6083999872207642},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46309998631477356},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.42160001397132874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.3578000068664551},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.3390/e21070699","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21070699","pdf_url":"https://www.mdpi.com/1099-4300/21/7/699/pdf?version=1563266956","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33267413","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33267413","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:1907.11762","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.11762","pdf_url":"https://arxiv.org/pdf/1907.11762","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c23fa512ac454c7a9b4a4e7dba647d99","is_oa":true,"landing_page_url":"https://doaj.org/article/c23fa512ac454c7a9b4a4e7dba647d99","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 21, Iss 7, p 699 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/7/699/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21070699","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:osti.gov:1543016","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1543016","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1544707","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1544707","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7515213","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7515213","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21070699","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21070699","pdf_url":"https://www.mdpi.com/1099-4300/21/7/699/pdf?version=1563266956","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3094591836","display_name":null,"funder_award_id":"ECP Alpine project","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2960459435.pdf","grobid_xml":"https://content.openalex.org/works/W2960459435.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1492872323","https://openalex.org/W1551726322","https://openalex.org/W1911577401","https://openalex.org/W1959248679","https://openalex.org/W1963835219","https://openalex.org/W1980236465","https://openalex.org/W1987698555","https://openalex.org/W1989049111","https://openalex.org/W2001322685","https://openalex.org/W2004114956","https://openalex.org/W2004537679","https://openalex.org/W2011916548","https://openalex.org/W2021743708","https://openalex.org/W2030194779","https://openalex.org/W2031335414","https://openalex.org/W2034432063","https://openalex.org/W2042898098","https://openalex.org/W2045999613","https://openalex.org/W2047828610","https://openalex.org/W2052280110","https://openalex.org/W2065959678","https://openalex.org/W2086320398","https://openalex.org/W2092262344","https://openalex.org/W2095439994","https://openalex.org/W2098642746","https://openalex.org/W2099272828","https://openalex.org/W2102136719","https://openalex.org/W2114651926","https://openalex.org/W2119173531","https://openalex.org/W2126014082","https://openalex.org/W2126736494","https://openalex.org/W2128495311","https://openalex.org/W2133665775","https://openalex.org/W2138290184","https://openalex.org/W2140139548","https://openalex.org/W2142856765","https://openalex.org/W2145979309","https://openalex.org/W2151412512","https://openalex.org/W2154503164","https://openalex.org/W2156875677","https://openalex.org/W2159637323","https://openalex.org/W2162948416","https://openalex.org/W2163213996","https://openalex.org/W2166334656","https://openalex.org/W2166630884","https://openalex.org/W2185198135","https://openalex.org/W2188869371","https://openalex.org/W2204875540","https://openalex.org/W2337948133","https://openalex.org/W2509745984","https://openalex.org/W2551427248","https://openalex.org/W2754777568","https://openalex.org/W2755764088","https://openalex.org/W2758539423","https://openalex.org/W2760568291","https://openalex.org/W2770681770","https://openalex.org/W2806365215","https://openalex.org/W2807138665","https://openalex.org/W2885003032","https://openalex.org/W2888277127","https://openalex.org/W2899673449","https://openalex.org/W2978725006","https://openalex.org/W4249735736","https://openalex.org/W4297672261","https://openalex.org/W6676072126","https://openalex.org/W6682828673","https://openalex.org/W6683589411","https://openalex.org/W6691098956"],"related_works":[],"abstract_inverted_index":{"With":[0],"increasing":[1],"computing":[2],"capabilities":[3],"of":[4,9,80,83,146,183],"modern":[5],"supercomputers,":[6],"the":[7,10,14,40,46,81,84,106,115,143,159,184],"size":[8],"data":[11,27,36,42,48,85,88,102,127,133,147,156,199],"generated":[12],"from":[13],"scientific":[15,62,198],"simulations":[16],"is":[17,191],"growing":[18],"rapidly.":[19],"As":[20],"a":[21,77,126,154],"result,":[22],"application":[23],"scientists":[24],"need":[25],"effective":[26],"summarization":[28,89,134],"techniques":[29,90],"that":[30,45,105,135,157,171],"can":[31,49,177],"reduce":[32],"large-scale":[33],"multivariate":[34,172,186],"spatiotemporal":[35],"sets":[37],"while":[38],"preserving":[39],"important":[41,107],"properties":[43],"so":[44],"reduced":[47,116,166],"answer":[50],"domain-specific":[51],"queries":[52],"involving":[53,109],"multiple":[54,110,150],"variables":[55,73,111,151],"with":[56],"sufficient":[57],"accuracy.":[58],"While":[59],"analyzing":[60],"complex":[61],"events,":[63],"domain":[64],"experts":[65],"often":[66],"analyze":[67,94],"and":[68,99,152,175],"visualize":[69],"two":[70],"or":[71],"more":[72],"together":[74],"to":[75,93,141],"obtain":[76],"better":[78],"understanding":[79],"characteristics":[82],"features.":[86],"Therefore,":[87],"are":[91,112],"required":[92],"multi-variable":[95],"relationships":[96],"in":[97,114,121],"detail":[98],"then":[100],"perform":[101],"reduction":[103],"such":[104,165],"features":[108],"preserved":[113],"data.":[117],"To":[118],"achieve":[119],"this,":[120],"this":[122],"work,":[123],"we":[124,169],"propose":[125],"sub-sampling":[128],"algorithm":[129,190],"for":[130],"performing":[131],"statistical":[132,144,160],"leverages":[136],"pointwise":[137],"information":[138],"theoretic":[139],"measures":[140],"quantify":[142],"association":[145,161,187],"points":[148],"considering":[149],"generates":[153],"sub-sampled":[155],"preserves":[158],"among":[162],"multi-variables.":[163],"Using":[164],"sampled":[167],"data,":[168],"show":[170],"feature":[173],"query":[174],"analysis":[176],"be":[178],"done":[179],"effectively.":[180],"The":[181],"efficacy":[182],"proposed":[185],"driven":[188],"sampling":[189],"presented":[192],"by":[193],"applying":[194],"it":[195],"on":[196],"several":[197],"sets.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2019-07-23T00:00:00"}