{"id":"https://openalex.org/W7135019769","doi":"https://doi.org/10.48550/arxiv.2603.10625","title":"A Hypergraph-Based Framework for Exploratory Business Intelligence","display_name":"A Hypergraph-Based Framework for Exploratory Business Intelligence","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135019769","doi":"https://doi.org/10.48550/arxiv.2603.10625"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.10625","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009873965","display_name":"Yunkai Lou","orcid":"https://orcid.org/0000-0002-9427-3012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lou, Yunkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036073614","display_name":"Shunyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shunyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128879421","display_name":"Longbin Lai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lai, Longbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020028720","display_name":"Jianke Yu","orcid":"https://orcid.org/0000-0002-2032-7727"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Jianke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018856303","display_name":"Wenyuan Yu","orcid":"https://orcid.org/0009-0006-5641-2452"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Wenyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128914576","display_name":"YING ZHANG","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.3345000147819519,"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":0.3345000147819519,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.19949999451637268,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.07989999651908875,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.6209999918937683},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5593000054359436},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.5430999994277954},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.5375999808311462},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4909000098705292},{"id":"https://openalex.org/keywords/exploratory-search","display_name":"Exploratory search","score":0.4424999952316284},{"id":"https://openalex.org/keywords/exploratory-research","display_name":"Exploratory research","score":0.4316999912261963},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022000193595886},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.6209999918937683},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5593000054359436},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C2777866876","wikidata":"https://www.wikidata.org/wiki/Q5421358","display_name":"Exploratory search","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4300999939441681},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3321000039577484},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32510000467300415},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.32190001010894775},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.31139999628067017},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C11066294","wikidata":"https://www.wikidata.org/wiki/Q1518244","display_name":"Business rule","level":4,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.10625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4187528192996979}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Business":[0],"Intelligence":[1],"(BI)":[2],"analysis":[3],"is":[4],"evolving":[5],"towards":[6],"Exploratory":[7,28],"BI,":[8],"an":[9,123],"iterative,":[10],"multi-round":[11],"exploration":[12],"paradigm":[13],"where":[14],"analysts":[15],"progressively":[16],"refine":[17],"their":[18],"understanding.":[19],"However,":[20],"traditional":[21],"BI":[22,138],"systems":[23],"impose":[24],"critical":[25],"limits":[26],"for":[27,130],"BI:":[29],"heavy":[30],"reliance":[31],"on":[32,89,101],"expert":[33],"knowledge,":[34],"high":[35,120],"computational":[36,82],"costs,":[37],"static":[38],"schemas,":[39],"and":[40,61,68,110,134],"lack":[41],"of":[42,127],"reusability.":[43],"We":[44],"present":[45],"ExBI,":[46],"a":[47],"novel":[48],"system":[49],"that":[50,93],"introduces":[51],"the":[52,81],"hypergraph":[53],"data":[54],"model":[55],"with":[56,75,122],"operators,":[57],"including":[58],"Source,":[59],"Join,":[60],"View,":[62],"to":[63,105,108,113,116],"enable":[64],"dynamic":[65],"schema":[66],"evolution":[67],"materialized":[69],"view":[70],"reuse.":[71],"Using":[72],"sampling-based":[73],"algorithms":[74],"provable":[76],"estimation":[77],"guarantees,":[78],"ExBI":[79,94],"addresses":[80],"bottlenecks,":[83],"while":[84,118],"maintaining":[85,119],"analytical":[86],"accuracy.":[87],"Experiments":[88],"LDBC":[90],"datasets":[91],"demonstrate":[92],"achieves":[95],"significant":[96],"speedups":[97],"over":[98],"existing":[99],"systems:":[100],"average":[102,124],"16.21x":[103],"(up":[104,112],"146.25x)":[106],"compared":[107,115],"Neo4j":[109],"46.67x":[111],"230.53x)":[114],"MySQL,":[117],"accuracy":[121],"error":[125],"rate":[126],"only":[128],"0.27%":[129],"COUNT,":[131],"enabling":[132],"efficient":[133],"accurate":[135],"large-scale":[136],"exploratory":[137],"workflows.":[139]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-13T00:00:00"}