{"id":"https://openalex.org/W2884753653","doi":"https://doi.org/10.14778/3231751.3231752","title":"Leveraging similarity joins for signal reconstruction","display_name":"Leveraging similarity joins for signal reconstruction","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2884753653","doi":"https://doi.org/10.14778/3231751.3231752","mag":"2884753653"},"language":"en","primary_location":{"id":"doi:10.14778/3231751.3231752","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3231751.3231752","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/A5027319416","display_name":"Abolfazl Asudeh","orcid":"https://orcid.org/0000-0002-5251-6186"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abolfazl Asudeh","raw_affiliation_strings":["University of Michigan and University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Michigan and University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070035154","display_name":"Azade Nazi","orcid":"https://orcid.org/0000-0002-4027-6250"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azade Nazi","raw_affiliation_strings":["Microsoft Research and University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"Microsoft Research and University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454","https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052559171","display_name":"Jees Augustine","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jees Augustine","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066004392","display_name":"Saravanan Thirumuruganathan","orcid":"https://orcid.org/0000-0002-1517-480X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saravanan Thirumuruganathan","raw_affiliation_strings":["QCRI, HBKU"],"affiliations":[{"raw_affiliation_string":"QCRI, HBKU","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331225","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0001-7328-6159"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Das","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088315797","display_name":"Divesh Srivastava","orcid":"https://orcid.org/0000-0002-7609-9217"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divesh Srivastava","raw_affiliation_strings":["AT&T Labs-Research"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5027319416"],"corresponding_institution_ids":["https://openalex.org/I189196454","https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.6606,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6880594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":"10","first_page":"1276","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11719","display_name":"Data Quality and Management","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/joins","display_name":"Joins","score":0.9313740134239197},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.906619131565094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139055728912354},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7065037488937378},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.6266241073608398},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5999546647071838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39322322607040405},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36931487917900085},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.352535218000412},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3495999574661255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21644353866577148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17707881331443787},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12333086133003235}],"concepts":[{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.9313740134239197},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.906619131565094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139055728912354},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7065037488937378},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.6266241073608398},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5999546647071838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39322322607040405},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36931487917900085},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.352535218000412},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3495999574661255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21644353866577148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17707881331443787},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12333086133003235},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3231751.3231752","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3231751.3231752","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":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W373488126","https://openalex.org/W632330365","https://openalex.org/W1486816646","https://openalex.org/W1594234351","https://openalex.org/W1676860219","https://openalex.org/W1970202913","https://openalex.org/W1984566373","https://openalex.org/W2078973331","https://openalex.org/W2083966857","https://openalex.org/W2086099721","https://openalex.org/W2093347109","https://openalex.org/W2111708605","https://openalex.org/W2111806841","https://openalex.org/W2114424556","https://openalex.org/W2115215982","https://openalex.org/W2121516976","https://openalex.org/W2125560635","https://openalex.org/W2126281557","https://openalex.org/W2132069633","https://openalex.org/W2133646105","https://openalex.org/W2140944908","https://openalex.org/W2146008005","https://openalex.org/W2157405322","https://openalex.org/W2163907500","https://openalex.org/W2164452299","https://openalex.org/W2289917018","https://openalex.org/W2444650685","https://openalex.org/W2494217734","https://openalex.org/W2547190417","https://openalex.org/W2598262646","https://openalex.org/W2727559188","https://openalex.org/W2764942935","https://openalex.org/W2998715488","https://openalex.org/W2999389558","https://openalex.org/W3143219376","https://openalex.org/W3162562816","https://openalex.org/W4250589301","https://openalex.org/W4292084264","https://openalex.org/W6643882143","https://openalex.org/W6673822829","https://openalex.org/W6678997361","https://openalex.org/W6679663036","https://openalex.org/W6793127252"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W176802781","https://openalex.org/W2997320962","https://openalex.org/W3011121006","https://openalex.org/W98480971","https://openalex.org/W4287906532","https://openalex.org/W2150291671","https://openalex.org/W2622139626","https://openalex.org/W2499279132"],"abstract_inverted_index":{"Signal":[0],"reconstruction":[1],"problem":[2,8,63,75],"(SRP)":[3],"is":[4,12,25],"an":[5,18],"important":[6],"optimization":[7],"where":[9],"the":[10],"objective":[11],"to":[13,17,27,61,108],"identify":[14],"a":[15,28,33,70,88,103],"solution":[16],"underdetermined":[19],"system":[20],"of":[21,36,73,106],"linear":[22],"equations":[23],"that":[24,99],"closest":[26],"given":[29],"prior.":[30],"It":[31],"has":[32],"substantial":[34],"number":[35],"applications":[37],"in":[38],"diverse":[39],"areas":[40],"including":[41],"network":[42],"traffic":[43],"engineering,":[44],"medical":[45],"image":[46],"reconstruction,":[47],"acoustics,":[48],"astronomy":[49],"and":[50,76,95],"many":[51],"more.":[52],"Most":[53],"common":[54],"approaches":[55],"for":[56,83],"SRP":[57],"do":[58],"not":[59],"scale":[60],"large":[62],"sizes.":[64],"In":[65],"this":[66,74],"paper,":[67],"we":[68],"propose":[69],"dual":[71],"formulation":[72],"show":[77,98],"how":[78],"adapting":[79],"database":[80],"techniques":[81],"developed":[82],"scalable":[84],"similarity":[85],"joins":[86],"provides":[87],"significant":[89,104],"speedup.":[90],"Extensive":[91],"experiments":[92],"on":[93],"real-world":[94],"synthetic":[96],"data":[97],"our":[100],"approach":[101],"produces":[102],"speedup":[105],"up":[107],"20x":[109],"over":[110],"competing":[111],"approaches.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}