{"id":"https://openalex.org/W4388214578","doi":"https://doi.org/10.1109/ewdts59469.2023.10297032","title":"Vector Logic Analysis of Big Data","display_name":"Vector Logic Analysis of Big Data","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388214578","doi":"https://doi.org/10.1109/ewdts59469.2023.10297032"},"language":"en","primary_location":{"id":"doi:10.1109/ewdts59469.2023.10297032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ewdts59469.2023.10297032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE East-West Design &amp; Test Symposium (EWDTS)","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/A5112823800","display_name":"Abdullayev Vugar Hacimahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I136806742","display_name":"Azerbaijan State Oil and Industry University","ror":"https://ror.org/05mmnns11","country_code":"AZ","type":"education","lineage":["https://openalex.org/I136806742"]}],"countries":["AZ"],"is_corresponding":true,"raw_author_name":"Abdullayev Vugar Hacimahmud","raw_affiliation_strings":["Azerbaijan State Oil and Industry University,Computer Engineering Department,Baku,Azerbaijan","Computer Engineering Department, Azerbaijan State Oil and Industry University, Baku, Azerbaijan"],"affiliations":[{"raw_affiliation_string":"Azerbaijan State Oil and Industry University,Computer Engineering Department,Baku,Azerbaijan","institution_ids":["https://openalex.org/I136806742"]},{"raw_affiliation_string":"Computer Engineering Department, Azerbaijan State Oil and Industry University, Baku, Azerbaijan","institution_ids":["https://openalex.org/I136806742"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108130808","display_name":"Hanna Khakhanova","orcid":null},"institutions":[{"id":"https://openalex.org/I107158390","display_name":"Kharkiv National University of Radio Electronics","ror":"https://ror.org/01ctj1b90","country_code":"UA","type":"education","lineage":["https://openalex.org/I107158390"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Hanna Khakhanova","raw_affiliation_strings":["Kharkov National University of Radioelectronics,Design Automation Department,Kharkov,Ukraine","Design Automation Department, Kharkov National University of Radioelectronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kharkov National University of Radioelectronics,Design Automation Department,Kharkov,Ukraine","institution_ids":["https://openalex.org/I107158390"]},{"raw_affiliation_string":"Design Automation Department, Kharkov National University of Radioelectronics, Kharkov, Ukraine","institution_ids":["https://openalex.org/I107158390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056287449","display_name":"Eugenia Litvinova","orcid":"https://orcid.org/0000-0002-9797-5271"},"institutions":[{"id":"https://openalex.org/I107158390","display_name":"Kharkiv National University of Radio Electronics","ror":"https://ror.org/01ctj1b90","country_code":"UA","type":"education","lineage":["https://openalex.org/I107158390"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Eugenia Litvinova","raw_affiliation_strings":["Kharkov National University of Radioelectronics,Design Automation Department,Kharkov,Ukraine","Design Automation Department, Kharkov National University of Radioelectronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kharkov National University of Radioelectronics,Design Automation Department,Kharkov,Ukraine","institution_ids":["https://openalex.org/I107158390"]},{"raw_affiliation_string":"Design Automation Department, Kharkov National University of Radioelectronics, Kharkov, Ukraine","institution_ids":["https://openalex.org/I107158390"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112823800"],"corresponding_institution_ids":["https://openalex.org/I136806742"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17457388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/computer-science","display_name":"Computer science","score":0.8211578726768494},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5375760197639465},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5162465572357178},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5010724067687988},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.4965987801551819},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.465071439743042},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4370652437210083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4335092604160309},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.430440753698349},{"id":"https://openalex.org/keywords/logical-data-model","display_name":"Logical data model","score":0.4197445809841156},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.347199410200119},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24945655465126038},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2449435293674469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211578726768494},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5375760197639465},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5162465572357178},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5010724067687988},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.4965987801551819},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.465071439743042},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4370652437210083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4335092604160309},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.430440753698349},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.4197445809841156},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.347199410200119},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24945655465126038},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2449435293674469},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ewdts59469.2023.10297032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ewdts59469.2023.10297032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE East-West Design &amp; Test Symposium (EWDTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2565733512","https://openalex.org/W2735702455","https://openalex.org/W2787593846","https://openalex.org/W2790139232","https://openalex.org/W2902459824","https://openalex.org/W2997181101","https://openalex.org/W3003717980","https://openalex.org/W3012480764","https://openalex.org/W3086369502","https://openalex.org/W6772461537","https://openalex.org/W6774779605"],"related_works":["https://openalex.org/W2474323669","https://openalex.org/W3089353361","https://openalex.org/W81164209","https://openalex.org/W638142098","https://openalex.org/W37406309","https://openalex.org/W2991945580","https://openalex.org/W1592030807","https://openalex.org/W2098136777","https://openalex.org/W129777037","https://openalex.org/W846443833"],"abstract_inverted_index":{"The":[0,14],"paper":[1],"is":[2,129],"focused":[3],"on":[4,24,52,60,78,138],"identification":[5],"of":[6,40,49,55,73,82,93,102],"patterns":[7],"and":[8,12,38,109,122,134],"objects":[9,41],"using":[10,84],"keywords":[11,29,50],"data.":[13],"following":[15],"problems":[16],"are":[17,30,148],"considered:":[18],"searching":[19],"for":[20,141],"object":[21],"identifiers":[22],"based":[23,51,77,137],"a":[25,61,66,74,79,85],"truth":[26,56],"table,":[27],"where":[28],"formed":[31],"in":[32,42,70],"columns":[33],"that":[34],"determine":[35],"the":[36,43,46,53,71,91,99,103,111],"similarity":[37],"difference":[39],"flow;":[44,64],"defining":[45],"equivalence":[47],"classes":[48],"analysis":[54],"table":[57],"columns,":[58],"built":[59],"digitized":[62],"data":[63,128,132,144],"generating":[65],"business":[67,86],"process":[68,87],"model":[69,88],"form":[72],"logical":[75,116],"vector":[76,117],"binary":[80],"matrix":[81],"patterns;":[83],"to":[89,119],"verify":[90],"actions":[92],"operators":[94],"performing":[95],"regulatory":[96],"functionality":[97],"at":[98],"enterprise.":[100],"Transfer":[101],"von":[104],"Neumann":[105],"architecture":[106],"into":[107],"memory":[108],"replacing":[110],"powerful":[112],"read-write":[113,139],"processor":[114],"with":[115],"transactions":[118,140],"reduce":[120],"energy":[121],"time":[123],"costs":[124],"when":[125],"processing":[126],"big":[127,143],"proposed.":[130],"Smart":[131],"structures":[133],"simple":[135],"algorithms":[136],"in-memory":[142],"as":[145],"address":[146],"computing":[147],"being":[149],"developed.":[150]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
