{"id":"https://openalex.org/W2526315988","doi":"https://doi.org/10.1109/tcc.2015.2449855","title":"A Holistic Approach for Distributed Dimensionality Reduction of Big Data","display_name":"A Holistic Approach for Distributed Dimensionality Reduction of Big Data","publication_year":2015,"publication_date":"2015-07-22","ids":{"openalex":"https://openalex.org/W2526315988","doi":"https://doi.org/10.1109/tcc.2015.2449855","mag":"2526315988"},"language":"en","primary_location":{"id":"doi:10.1109/tcc.2015.2449855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2015.2449855","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cloud Computing","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/A5018138106","display_name":"Liwei Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwei Kuang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808353","display_name":"Jinjun Chen","orcid":"https://orcid.org/0000-0003-1677-9525"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinjun Chen","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology, Sydney., Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology, Sydney., Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002241280","display_name":"Fei Hao","orcid":"https://orcid.org/0000-0001-5288-5523"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hao","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108048105","display_name":"Changqing Luo","orcid":"https://orcid.org/0000-0003-0875-9380"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Luo","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018138106"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.1804,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.75525813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":"2","first_page":"506","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8058832287788391},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7729711532592773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345799803733826},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6010429859161377},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4193214178085327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33722615242004395},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32259851694107056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2591135501861572}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8058832287788391},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7729711532592773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345799803733826},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6010429859161377},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4193214178085327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33722615242004395},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32259851694107056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2591135501861572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcc.2015.2449855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2015.2449855","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cloud Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"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":42,"referenced_works":["https://openalex.org/W204991446","https://openalex.org/W1483775819","https://openalex.org/W1504818438","https://openalex.org/W1755563775","https://openalex.org/W1849888104","https://openalex.org/W1963826206","https://openalex.org/W1964217357","https://openalex.org/W1980357388","https://openalex.org/W1988662661","https://openalex.org/W2005423095","https://openalex.org/W2008132298","https://openalex.org/W2013912476","https://openalex.org/W2018067627","https://openalex.org/W2018282388","https://openalex.org/W2020828929","https://openalex.org/W2024165284","https://openalex.org/W2035864055","https://openalex.org/W2054188927","https://openalex.org/W2060225944","https://openalex.org/W2078841894","https://openalex.org/W2081961584","https://openalex.org/W2093245688","https://openalex.org/W2095419287","https://openalex.org/W2100324777","https://openalex.org/W2101412747","https://openalex.org/W2113449409","https://openalex.org/W2116389438","https://openalex.org/W2128728535","https://openalex.org/W2132172731","https://openalex.org/W2137570937","https://openalex.org/W2148502679","https://openalex.org/W2152926062","https://openalex.org/W2158590920","https://openalex.org/W2169378749","https://openalex.org/W2187323049","https://openalex.org/W2398715209","https://openalex.org/W3031566370","https://openalex.org/W4230094279","https://openalex.org/W4230207197","https://openalex.org/W4246933586","https://openalex.org/W4250888917","https://openalex.org/W6779058301"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W1995622179","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"With":[0],"the":[1,38,55,89,104,111,129,135,151,158,178,184],"exponential":[2],"growth":[3],"of":[4,20,27,65,77,103,128,134,141,194],"data":[5,8,22,40,70,94,106],"volume,":[6],"big":[7,21,66,69,195],"have":[9],"placed":[10],"an":[11,33],"unprecedented":[12],"burden":[13],"on":[14],"current":[15],"computing":[16,79,160,166],"infrastructure.":[17],"Dimensionality":[18],"reduction":[19,64,73,153,193],"attracts":[23],"a":[24,96,164,172],"great":[25],"deal":[26],"attention":[28],"in":[29,99,139],"recent":[30],"years":[31],"as":[32,95,168,170],"efficient":[34,189],"method":[35,84],"to":[36,44,48,61,87,125,162,176],"extract":[37],"core":[39],"which":[41,100],"is":[42,85,123,188],"smaller":[43],"store":[45],"and":[46,75,92,146],"faster":[47],"process.":[49],"This":[50],"paper":[51,156],"aims":[52],"at":[53],"addressing":[54],"three":[56],"fundamental":[57],"problems":[58],"closely":[59],"related":[60],"distributed":[62,78,165,191],"dimensionality":[63,72,127,152,192],"data,":[67],"i.e.,":[68],"fusion,":[71],"algorithm":[74,122,136],"construction":[76],"platform.":[80],"A":[81,114],"chunk":[82],"tensor":[83,112],"presented":[86],"fuse":[88],"unstructured,":[90],"semi-structured":[91],"structured":[93],"unified":[97,130],"model":[98,175],"all":[101],"characteristics":[102],"heterogeneous":[105],"are":[107,137],"appropriately":[108],"arranged":[109],"along":[110],"orders.":[113],"Lanczos":[115],"based":[116],"high":[117],"order":[118],"singular":[119],"value":[120],"decomposition":[121],"proposed":[124,185],"reduce":[126],"model.":[131],"Theoretical":[132],"analyses":[133],"provided":[138],"terms":[140],"storage":[142],"scheme,":[143],"convergence":[144],"property":[145],"computation":[147],"cost.":[148],"To":[149],"execute":[150],"task,":[154],"this":[155],"employs":[157],"transparent":[159],"paradigm":[161],"construct":[163],"platform":[167],"well":[169],"utilizes":[171],"four-objectives":[173],"optimization":[174],"schedule":[177],"tasks.":[179],"Experimental":[180],"results":[181],"demonstrate":[182],"that":[183],"holistic":[186],"approach":[187],"for":[190],"data.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}