{"id":"https://openalex.org/W1979839114","doi":"https://doi.org/10.1109/bigdata.2014.7004358","title":"Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds","display_name":"Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1979839114","doi":"https://doi.org/10.1109/bigdata.2014.7004358","mag":"1979839114"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5037998957","display_name":"Ujjal Kumar Mukherjee","orcid":"https://orcid.org/0000-0003-1560-7772"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ujjal Kumar Mukherjee","raw_affiliation_strings":["Carlson School of Management, University of Minnesota, Minneapolis, Minnesota, USA","Carlson School of Management; University of Minnesota; Minneapolis; Minnesota; 55455; USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlson School of Management, University of Minnesota, Minneapolis, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Carlson School of Management; University of Minnesota; Minneapolis; Minnesota; 55455; USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046920838","display_name":"Snigdhansu Chatterjee","orcid":"https://orcid.org/0000-0002-7986-0470"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Snigdhansu Chatterjee","raw_affiliation_strings":["School of Statistics, University of Minnesota, Minneapolis, Minnesota, USA","School of Statistics, University of Minnesota, Minneapolis, Minnesota 55455, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, University of Minnesota, Minneapolis, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"School of Statistics, University of Minnesota, Minneapolis, Minnesota 55455, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.06881948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.7802107930183411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736580491065979},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7278695106506348},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6349886059761047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5725764036178589},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5413506031036377},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5282884240150452},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5263713002204895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21711194515228271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10885488986968994},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09974473714828491}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7802107930183411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736580491065979},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7278695106506348},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6349886059761047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5725764036178589},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5413506031036377},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5282884240150452},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5263713002204895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21711194515228271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10885488986968994},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09974473714828491},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2014.7004358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1551782597","https://openalex.org/W1556121131","https://openalex.org/W1590336841","https://openalex.org/W1995837069","https://openalex.org/W2045526801","https://openalex.org/W2050647304","https://openalex.org/W2062650041","https://openalex.org/W2080000723","https://openalex.org/W2093071433","https://openalex.org/W2097347373","https://openalex.org/W2131496831","https://openalex.org/W2134643721","https://openalex.org/W4240382716","https://openalex.org/W4241653265","https://openalex.org/W6632793416","https://openalex.org/W6821988584"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W1572557500","https://openalex.org/W3124946120","https://openalex.org/W4390690393","https://openalex.org/W2047938026","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W4293365552","https://openalex.org/W2005776175"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,41,73],"present":[4,30,42],"a":[5,10,31,43,51,54,66,76],"new":[6,55],"algorithm":[7,35,45],"based":[8],"on":[9],"weighted":[11],"projection":[12,32],"quantiles":[13],"for":[14,36,46,69,87,101],"fast":[15,44],"and":[16,64,146,150,155],"frugal":[17],"real":[18,77,102,129,134,147],"time":[19,78,103,130,135,148],"quantile":[20,33],"estimation":[21],"of":[22,50,105,120,139],"large":[23],"sized":[24],"high":[25,37,106],"dimensional":[26,38,107],"data":[27,62,113],"clouds.":[28],"We":[29,93],"regression":[34],"data.":[39,71,92],"Second,":[40],"computing":[47],"the":[48],"depth":[49],"point":[52],"or":[53],"observation":[56],"in":[57,123,153],"relation":[58],"to":[59,83],"any":[60],"high-dimensional":[61],"cloud,":[63],"propose":[65],"ranking":[67],"system":[68],"multivariate":[70],"Third,":[72],"briefly":[74],"describe":[75],"rapid":[79],"monitoring":[80,138],"scheme":[81],"similar":[82],"statistical":[84],"process":[85],"monitoring,":[86],"actionable":[88],"analytics":[89],"with":[90],"big":[91],"believe":[94],"these":[95],"algorithms":[96,117],"would":[97,118],"be":[98,119],"very":[99],"useful":[100],"analysis":[104],"`big":[108],"data'":[109],"sets":[110],"including":[111],"streaming":[112],"sets.":[114],"The":[115],"proposed":[116],"immense":[121],"use":[122],"several":[124],"application":[125],"areas":[126],"such":[127],"as":[128],"financial":[131],"market":[132],"analysis,":[133],"remote":[136],"health":[137],"patients":[140],"using":[141],"body":[142],"area":[143],"networked":[144],"devices":[145],"pricing":[149],"inventory":[151],"decisions":[152],"retail":[154],"manufacturing":[156],"sector.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
