{"id":"https://openalex.org/W4408858713","doi":"https://doi.org/10.1145/3687998.3717035","title":"Reproducibility Report for ACM SIGMOD 2024 Paper: 'PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation'","display_name":"Reproducibility Report for ACM SIGMOD 2024 Paper: 'PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation'","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408858713","doi":"https://doi.org/10.1145/3687998.3717035"},"language":"en","primary_location":{"id":"doi:10.1145/3687998.3717035","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687998.3717035","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687998.3717035","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Reproducibility Reports of the 2024 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3687998.3717035","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002898613","display_name":"Yangshen Deng","orcid":"https://orcid.org/0009-0003-9487-1455"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangshen Deng","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-9487-1455","affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025151108","display_name":"Ted Shaowang","orcid":"https://orcid.org/0000-0002-7353-3786"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ted Shaowang","raw_affiliation_strings":["University of Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0002-7353-3786","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005043853","display_name":"Tapan Srivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tapan Srivastava","raw_affiliation_strings":["University of Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0009-0000-8592-4218","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002898613"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":1.8773,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83536076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9726999998092651,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9726999998092651,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9714999794960022,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9661999940872192,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681894302368164},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.6292272210121155},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5704381465911865},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4421252906322479},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.43882960081100464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.377699613571167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18235713243484497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1133553683757782},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10855457186698914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681894302368164},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.6292272210121155},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5704381465911865},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4421252906322479},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.43882960081100464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.377699613571167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18235713243484497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1133553683757782},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10855457186698914},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687998.3717035","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687998.3717035","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687998.3717035","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Reproducibility Reports of the 2024 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3687998.3717035","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687998.3717035","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687998.3717035","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Reproducibility Reports of the 2024 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408858713.pdf"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4393183904"],"related_works":["https://openalex.org/W4205996836","https://openalex.org/W2151692181","https://openalex.org/W4392498349","https://openalex.org/W2093960938","https://openalex.org/W4407788647","https://openalex.org/W2010317732","https://openalex.org/W3214148052","https://openalex.org/W4392216655","https://openalex.org/W2807741550","https://openalex.org/W2483328176"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,27,59,72],"new":[4],"solution":[5],"to":[6,68,88,114],"handle":[7],"the":[8,51,54,64,82,90,96,99,106],"issues":[9],"posed":[10],"by":[11,35],"out-of-order":[12],"arrival":[13],"of":[14,53,61,66,74,102],"data":[15,33,42,48],"when":[16,49],"computing":[17],"stream":[19,75],"window":[20],"join":[21],"(SWJ).":[22],"The":[23,56],"authors":[24,57,107],"propose":[25],"PECJ,":[26],"system":[28],"which":[29],"proactively":[30],"manages":[31],"disordered":[32],"streams":[34],"relying":[36],"not":[37],"just":[38],"on":[39,71,81],"already":[40],"arrived":[41],"but":[43],"also":[44],"factoring":[45],"in":[46,95],"late-arriving":[47],"updating":[50],"results":[52,91],"join.":[55],"present":[58],"set":[60],"experiments":[62],"comparing":[63],"efficacy":[65],"PECJ":[67],"state-of-the-art":[69],"methods":[70],"range":[73],"oscillation":[76],"patterns.":[77],"We":[78],"find":[79],"that":[80],"hardware":[83],"specified":[84],"we":[85],"were":[86],"able":[87],"reproduce":[89,115],"and":[92,111],"plots":[93],"shown":[94],"paper,":[97],"illustrating":[98],"robust":[100],"nature":[101],"these":[103],"experiments.":[104],"Furthermore,":[105],"provided":[108],"well-written":[109],"scripts":[110],"easy-to-follow":[112],"instructions":[113],"this":[116],"material.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
