{"id":"https://openalex.org/W4417228533","doi":"https://doi.org/10.1145/3788853.3801616","title":"FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform","display_name":"FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W4417228533","doi":"https://doi.org/10.1145/3788853.3801616"},"language":"en","primary_location":{"id":"doi:10.1145/3788853.3801616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3788853.3801616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103120067","display_name":"Xin Tong","orcid":"https://orcid.org/0000-0002-8858-9045"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tong","raw_affiliation_strings":["Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-0910-6047","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056912386","display_name":"Xuanhe Zhou","orcid":"https://orcid.org/0000-0002-2285-7836"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhe Zhou","raw_affiliation_strings":["Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2285-7836","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946576","display_name":"Bingsheng He","orcid":"https://orcid.org/0000-0001-8618-4581"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingsheng He","raw_affiliation_strings":["National Univ. of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8618-4581","affiliations":[{"raw_affiliation_string":"National Univ. of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1398-0621","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zirui Tang","orcid":"https://orcid.org/0009-0003-3449-4248"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Tang","raw_affiliation_strings":["Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-3449-4248","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036503802","display_name":"Zhou We","orcid":"https://orcid.org/0000-0002-4123-2276"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-8862-7753","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068255689","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0001-9937-3189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Deng","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-6060-8108","affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037748651","display_name":"Mian Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mian Lu","raw_affiliation_strings":["4Paradigm Inc., Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0002-4853-8881","affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063453421","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0009-0005-9339-2510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-9339-2510","affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068255689","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0001-9937-3189"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0965-9058","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01440737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.39239999651908875,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.39239999651908875,"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":0.05469999834895134,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.041099999099969864,"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/feature","display_name":"Feature (linguistics)","score":0.7249000072479248},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6899999976158142},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.5636000037193298},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4844000041484833},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4683000147342682},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4259999990463257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3887999951839447},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.383899986743927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516000270843506},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7249000072479248},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6899999976158142},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.5636000037193298},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4032000005245209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984000086784363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3571999967098236},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C199519371","wikidata":"https://www.wikidata.org/wiki/Q942695","display_name":"Source lines of code","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3788853.3801616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.00786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.00786","pdf_url":"https://arxiv.org/pdf/2504.00786","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.00786","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.00786","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3788853.3801616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Feature":[0],"management":[1],"is":[2,45,153,157],"critical":[3],"for":[4,69,92],"online":[5,42],"machine":[6],"learning":[7],"(ML)":[8],"applications":[9],"but":[10],"often":[11],"becomes":[12],"the":[13,21,62,67,94],"performance":[14,147],"bottleneck,":[15],"contributing":[16],"up":[17],"to":[18,48],"70%":[19],"of":[20,59],"total":[22],"latency":[23],"in":[24,61,114,141,149],"services":[25],"like":[26],"sales":[27],"prediction.":[28],"Poor":[29],"feature":[30,96,99,126,137],"configurations":[31],"(e.g.,":[32,54,140,148],"excessive":[33],"irrelevant":[34],"features)":[35],"can":[36,165],"degrade":[37],"model":[38],"generalization.":[39],"However,":[40],"managing":[41,93],"ML":[43],"features":[44],"non-trivial":[46],"due":[47],"(1)":[49],"large-scale,":[50],"heterogeneous":[51],"raw":[52],"data":[53],"17":[55],"tables":[56],"with":[57],"hundreds":[58],"columns":[60],"2018":[63],"PHM":[64],"dataset),":[65],"(2)":[66],"need":[68],"consistent,":[70],"low-latency":[71],"computation":[72,146],"over":[73,115],"interdependent":[74],"features,":[75],"and":[76,80,105,128,144,161],"(3)":[77],"real-time":[78],"update":[79],"deployment":[81],"requirements.":[82],"In":[83],"this":[84],"demo,":[85],"we":[86],"present":[87],"\u00f8ursys,":[88],"a":[89,162],"unified":[90],"system":[91,156],"complete":[95],"lifecycle,":[97],"covering":[98],"design,":[100],"storage,":[101],"visualization,":[102],"computation,":[103],"verification,":[104],"lineage.":[106],"Powered":[107],"by":[108],"OpenMLDB,":[109],"\u00f8ursys":[110,135],"has":[111],"been":[112],"deployed":[113],"100":[116],"real-world":[117],"scenarios":[118],"on":[119,168],"4Paradigm's":[120],"Sage":[121],"Studio":[122],"platform,":[123],"handling":[124],"trillion-dimensional":[125],"spaces":[127],"enabling":[129],"millisecond-level":[130],"updates.":[131],"We":[132],"demonstrate":[133],"how":[134],"boosts":[136],"design":[138],"efficiency":[139],"product":[142],"recommendation)":[143],"accelerates":[145],"fraud":[150],"detection).":[151],"Code":[152],"available.":[154],"The":[155],"available":[158],"at:":[159],"https://github.com/4paradigm/FeatInsight":[160],"demonstration":[163],"video":[164],"be":[166],"found":[167],"YouTube":[169],"at":[170],"https://youtu.be/GS9ZCJhtzyQ?si=7O8-dGQS84x07cTM.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
