{"id":"https://openalex.org/W2546533167","doi":"https://doi.org/10.14778/3007263.3007268","title":"dmapply","display_name":"dmapply","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2546533167","doi":"https://doi.org/10.14778/3007263.3007268","mag":"2546533167"},"language":"en","primary_location":{"id":"doi:10.14778/3007263.3007268","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3007263.3007268","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5050823625","display_name":"Edward Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edward Ma","raw_affiliation_strings":["HPE Vertica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HPE Vertica","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053508948","display_name":"Vishrut Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishrut Gupta","raw_affiliation_strings":["HPE Vertica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HPE Vertica","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109925930","display_name":"Meichun Hsu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meichun Hsu","raw_affiliation_strings":["HPE Vertica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HPE Vertica","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088504528","display_name":"Indrajit Roy","orcid":"https://orcid.org/0000-0002-4766-2664"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indrajit Roy","raw_affiliation_strings":["Hewlett Packard Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Labs","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8169,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91182836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"13","first_page":"1293","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8450750112533569},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6313299536705017},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5319260358810425},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5213512182235718},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48345836997032166},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.4486874043941498},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4263775944709778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33006447553634644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19520768523216248},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18097776174545288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8450750112533569},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6313299536705017},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5319260358810425},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5213512182235718},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48345836997032166},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.4486874043941498},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4263775944709778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33006447553634644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19520768523216248},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18097776174545288},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3007263.3007268","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3007263.3007268","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W162694113","https://openalex.org/W202641249","https://openalex.org/W1493893823","https://openalex.org/W1973262089","https://openalex.org/W1976821017","https://openalex.org/W1988425770","https://openalex.org/W1995897489","https://openalex.org/W2007259720","https://openalex.org/W2013373704","https://openalex.org/W2020199039","https://openalex.org/W2044849727","https://openalex.org/W2082171780","https://openalex.org/W2096544401","https://openalex.org/W2098935637","https://openalex.org/W2102458936","https://openalex.org/W2109722477","https://openalex.org/W2110086534","https://openalex.org/W2131975293","https://openalex.org/W2170616854","https://openalex.org/W2173213060","https://openalex.org/W2185864411","https://openalex.org/W2397760010","https://openalex.org/W2913854892"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W2844620057"],"abstract_inverted_index":{"Due":[0],"to":[1,15,19,32,34,57,139,149,198,225],"R's":[2,43,181],"popularity":[3],"as":[4,39,165,167,180],"a":[5,21,27,101,114],"data-mining":[6],"tool,":[7],"many":[8,160,177],"distributed":[9,22,82,108,124,218,238],"systems":[10],"expose":[11],"an":[12],"R-based":[13],"API":[14],"users":[16],"who":[17],"need":[18],"build":[20],"application":[23],"in":[24,64,70,80,99,170,240],"R.":[25,48],"As":[26],"result,":[28],"data":[29,125,137,251],"scientists":[30],"have":[31,93,173,204,222],"learn":[33],"use":[35],"different":[36,107,131,217],"interfaces":[37,51],"such":[38,179],"RHadoop,":[40],"SparkR,":[41],"Revolution":[42],"ScaleR,":[44],"and":[45,55,72,136,189],"HPE's":[46],"Distributed":[47,191],"Unfortunately,":[49],"these":[50,201],"are":[52,212],"custom,":[53],"non-standard,":[54],"difficult":[56],"learn.":[58],"Not":[59],"surprisingly,":[60],"R":[61],"applications":[62,168],"written":[63,169],"one":[65],"framework":[66],"do":[67],"not":[68,213],"work":[69],"another,":[71],"each":[73],"backend":[74],"infrastructure":[75],"has":[76,247],"spent":[77],"redundant":[78],"effort":[79],"implementing":[81],"machine":[83,162,208],"learning":[84,163,209],"algorithms.":[85],"Working":[86],"with":[87,176,193],"the":[88,154,226,230,244],"members":[89],"of":[90,200],"R-core,":[91],"we":[92,112],"created":[94],"ddR":[95,175,235],"(Distributed":[96],"Data":[97],"structures":[98],"R),":[100],"unified":[102],"system":[103],"that":[104,120,144,152,234],"works":[105],"across":[106,216],"frameworks.":[109],"In":[110],"ddR,":[111],"introduce":[113],"novel":[115],"programming":[116],"primitive":[117,129],"called":[118],"dmapply":[119,128,145],"executes":[121],"functions":[122],"on":[123,229],"structures.":[126],"The":[127],"encapsulates":[130],"computation":[132],"patterns:":[133],"from":[134],"function":[135],"broadcast":[138],"pair-wise":[140],"communication.":[141],"We":[142,172,203,232],"show":[143],"is":[146,252],"powerful":[147],"enough":[148],"express":[150],"algorithms":[151,210],"fit":[153],"statistical":[155],"query":[156],"model,":[157],"which":[158,211],"includes":[159],"popular":[161],"algorithms,":[164],"well":[166],"MapReduce.":[171],"integrated":[174],"backends,":[178],"single-node":[182],"parallel":[183],"framework,":[184,187],"multi-node":[185],"SNOW":[186],"Spark,":[188],"HPE":[190],"R,":[192,241],"few":[194],"or":[195],"no":[196],"modifications":[197],"any":[199],"systems.":[202],"also":[205,221],"implemented":[206],"multiple":[207],"only":[214],"portable":[215],"systems,":[219],"but":[220],"performance":[223],"comparable":[224],"\"native\"":[227],"implementations":[228],"backends.":[231],"believe":[233],"will":[236],"standardize":[237],"computing":[239],"just":[242],"like":[243],"SQL":[245],"interface":[246],"standardized":[248],"how":[249],"relational":[250],"manipulated.":[253]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-11-11T00:00:00"}