{"id":"https://openalex.org/W4200260174","doi":"https://doi.org/10.1109/tbdata.2021.3139069","title":"A Structured Approach Towards Big Data Identification","display_name":"A Structured Approach Towards Big Data Identification","publication_year":2021,"publication_date":"2021-12-29","ids":{"openalex":"https://openalex.org/W4200260174","doi":"https://doi.org/10.1109/tbdata.2021.3139069"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2021.3139069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2021.3139069","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5031330112","display_name":"Hameeza Ahmed","orcid":"https://orcid.org/0000-0003-0842-3318"},"institutions":[{"id":"https://openalex.org/I151746803","display_name":"NED University of Engineering and Technology","ror":"https://ror.org/05db8zr24","country_code":"PK","type":"education","lineage":["https://openalex.org/I151746803"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Hameeza Ahmed","raw_affiliation_strings":["Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Sindh, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Sindh, Pakistan","institution_ids":["https://openalex.org/I151746803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087504756","display_name":"Muhammad Ali Ismail","orcid":"https://orcid.org/0000-0003-0760-7051"},"institutions":[{"id":"https://openalex.org/I151746803","display_name":"NED University of Engineering and Technology","ror":"https://ror.org/05db8zr24","country_code":"PK","type":"education","lineage":["https://openalex.org/I151746803"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ali Ismail","raw_affiliation_strings":["Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Sindh, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Sindh, Pakistan","institution_ids":["https://openalex.org/I151746803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031330112"],"corresponding_institution_ids":["https://openalex.org/I151746803"],"apc_list":null,"apc_paid":null,"fwci":1.6525,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87662941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"147","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9824000000953674,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9824000000953674,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/big-data","display_name":"Big data","score":0.8079733848571777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7630712389945984},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6787398457527161},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36408907175064087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32381802797317505}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8079733848571777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630712389945984},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6787398457527161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36408907175064087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32381802797317505},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2021.3139069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2021.3139069","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W12599678","https://openalex.org/W841229804","https://openalex.org/W1868798185","https://openalex.org/W1918839972","https://openalex.org/W1975274780","https://openalex.org/W1984732406","https://openalex.org/W1998092191","https://openalex.org/W2000432868","https://openalex.org/W2001703222","https://openalex.org/W2019183416","https://openalex.org/W2054153667","https://openalex.org/W2055533652","https://openalex.org/W2076684951","https://openalex.org/W2080592089","https://openalex.org/W2098043650","https://openalex.org/W2103460560","https://openalex.org/W2109574129","https://openalex.org/W2121456247","https://openalex.org/W2128964655","https://openalex.org/W2135074661","https://openalex.org/W2149140091","https://openalex.org/W2150478767","https://openalex.org/W2159128662","https://openalex.org/W2159588611","https://openalex.org/W2261525379","https://openalex.org/W2270436279","https://openalex.org/W2285252321","https://openalex.org/W2285924575","https://openalex.org/W2287774888","https://openalex.org/W2401246392","https://openalex.org/W2497722157","https://openalex.org/W2526956184","https://openalex.org/W2540570975","https://openalex.org/W2542459869","https://openalex.org/W2565966100","https://openalex.org/W2587279613","https://openalex.org/W2593972309","https://openalex.org/W2594560857","https://openalex.org/W2597455597","https://openalex.org/W2610575559","https://openalex.org/W2615310743","https://openalex.org/W2618608702","https://openalex.org/W2620098967","https://openalex.org/W2623357190","https://openalex.org/W2625392185","https://openalex.org/W2735520148","https://openalex.org/W2736569376","https://openalex.org/W2750427532","https://openalex.org/W2751325608","https://openalex.org/W2756835026","https://openalex.org/W2757727956","https://openalex.org/W2763199922","https://openalex.org/W2763473974","https://openalex.org/W2764005395","https://openalex.org/W2765762244","https://openalex.org/W2767346351","https://openalex.org/W2768229290","https://openalex.org/W2770848963","https://openalex.org/W2774049724","https://openalex.org/W2774144635","https://openalex.org/W2777465902","https://openalex.org/W2781612545","https://openalex.org/W2782986791","https://openalex.org/W2783914601","https://openalex.org/W2785939461","https://openalex.org/W2788361190","https://openalex.org/W2801658385","https://openalex.org/W2802394285","https://openalex.org/W2802878531","https://openalex.org/W2803058261","https://openalex.org/W2806733817","https://openalex.org/W2810374907","https://openalex.org/W2888421737","https://openalex.org/W2889850233","https://openalex.org/W2890011953","https://openalex.org/W2892809916","https://openalex.org/W2896220297","https://openalex.org/W2900081476","https://openalex.org/W2906946779","https://openalex.org/W2911494248","https://openalex.org/W2927589612","https://openalex.org/W3119029787","https://openalex.org/W3123115705","https://openalex.org/W4229866061","https://openalex.org/W4237860468","https://openalex.org/W4239017244"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"Big":[0],"data":[1,39,47,64,164,189,260,285,356],"is":[2,7,120,143,157,165,272,292,307],"a":[3,107,212,223],"\u201drelative\u201d":[4],"concept.":[5],"It":[6],"the":[8,50,88,91,97,102,127,147,162,173,179,185,209,266,289,302,310,314,329,334,341],"combination":[9],"of":[10,62,71,90,96,115,175,187,214,225,322,354],"data,":[11,135],"application,":[12,136],"and":[13,34,52,94,130,137,220,231,246,316,361],"platform":[14,53,138],"properties.":[15,139],"The":[16,59,118,140,269],"term":[17],"<italic":[18,191,195,199,280,293],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,192,196,200,281,294],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">big":[20],"data</i>":[21],"has":[22,110,203],"been":[23,111,204,218,262],"used":[24],"with":[25],"almost":[26],"every":[27],"problem":[28,180],"involving":[29],"large":[30],"size,":[31],"real":[32],"time,":[33],"heterogeneous":[35],"data.":[36,117],"However,":[37],"these":[38],"attributes":[40],"are":[41],"not":[42],"enough":[43],"to":[44,67,153,159,167,227,265,274,298,320,358],"identify":[45],"big":[46,63,116,163,188,259,284,355],"by":[48,133,337],"ignoring":[49],"application":[51],"properties":[54],"for":[55,101,113,145,350],"finding":[56],"processing":[57,249],"thresholds.":[58],"equivocated":[60],"identification":[61,114,142],"can":[65,332,344],"lead":[66],"an":[68],"inefficient":[69],"use":[70],"optimization":[72,149],"techniques,":[73],"resulting":[74],"into":[75,190,347],"global":[76],"inefficiency,":[77],"reduced":[78],"system":[79],"performance,":[80],"increasing":[81],"power":[82],"consumption,":[83],"requiring":[84],"greater":[85],"effort":[86],"on":[87,122],"part":[89],"programming":[92],"team,":[93],"misallocation":[95],"hardware":[98,362],"resources":[99,318],"required":[100,158],"task.":[103],"In":[104,151,182,326],"this":[105,183,327],"regard,":[106,184],"structured":[108],"approach":[109,119],"presented":[112],"based":[121],"three":[123],"equations":[124,312,343],"that":[125],"categorize":[126,275],"Volume,":[128],"Velocity,":[129],"Variety":[131],"characteristics":[132],"relating":[134],"3Vs":[141,154],"necessary":[144],"enabling":[146],"relevant":[148,338],"techniques.":[150],"addition":[152],"identification,":[155],"it":[156],"discriminate":[160],"whether":[161],"due":[166,297],"1V,":[168],"2Vs":[169],"or":[170,198],"3Vs,":[171],"as":[172,235,237,258,279],"involvement":[174],"more":[176],"Vs":[177],"increases":[178],"complexity.":[181],"classification":[186],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">strong</i>":[193],",":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">moderate</i>":[197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">weak</i>":[201],"level":[202],"proposed":[205,210,267,270,311,330,342],".":[206],"To":[207],"evaluate":[208],"methods,":[211],"set":[213],"well-known":[215],"applications":[216],"have":[217,261],"experimented":[219],"categorized,":[221],"depicting":[222],"saving":[224],"up":[226,319],"58%":[228],"main":[229],"memory":[230],"44%":[232],"disk":[233],"reads,":[234],"well":[236],"prescribing":[238],"lower":[239],"clock":[240],"rate,":[241],"lesser":[242],"cores,":[243],"sequential":[244],"programming,":[245],"non":[247],"adaptive":[248],"&":[250],"storage":[251],"formats.":[252],"Moreover,":[253],"four":[254],"case":[255,277,291,304],"studies":[256,278],"reported":[257],"analyzed":[263],"according":[264],"system.":[268],"method":[271],"able":[273],"two":[276],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">weak":[282,295],"low</i>":[283],"presenting":[286],"only":[287],"volume,":[288],"third":[290],"medium</i>":[296],"velocity,":[299],"whereas":[300],"in":[301],"fourth":[303],"no":[305],"V":[306],"involved.":[308],"Also,":[309],"reduce":[313],"computation":[315],"human":[317],"75%":[321],"Spark":[323],"cluster":[324],"execution.":[325],"manner,":[328],"work":[331],"save":[333],"unnecessary":[335],"investments":[336],"prescriptions.":[339],"Furthermore,":[340],"be":[345],"integrated":[346],"different":[348],"tools":[349],"assisting":[351],"selective":[352],"offloading":[353],"workloads":[357],"appropriate":[359],"software":[360],"solutions.":[363]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
