{"id":"https://openalex.org/W2366913357","doi":"https://doi.org/10.1145/2939672.2939840","title":"Subjectively Interesting Component Analysis","display_name":"Subjectively Interesting Component Analysis","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2366913357","doi":"https://doi.org/10.1145/2939672.2939840","mag":"2366913357"},"language":"en","primary_location":{"id":"doi:10.1145/2939672.2939840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939840","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939840&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2939840&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090926391","display_name":"Bo Kang","orcid":"https://orcid.org/0000-0002-9895-9927"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bo Kang","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032448836","display_name":"Jefrey Lijffijt","orcid":"https://orcid.org/0000-0002-2930-5057"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jefrey Lijffijt","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028764929","display_name":"Ra\u00fal Santos\u2010Rodr\u00edguez","orcid":"https://orcid.org/0000-0001-9576-3905"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ra\u00fal Santos-Rodr\u00edguez","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076045275","display_name":"Tijl De Bie","orcid":"https://orcid.org/0000-0002-2692-7504"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tijl De Bie","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3183,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92934623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1615","last_page":"1624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.992900013923645,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7281057238578796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.707621157169342},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6970771551132202},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6208290457725525},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5392839312553406},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5211474895477295},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.47880157828330994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4579857587814331},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.44620412588119507},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4307863712310791},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4176979959011078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3663678765296936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3451669216156006},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3337235152721405}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7281057238578796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707621157169342},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6970771551132202},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6208290457725525},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5392839312553406},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5211474895477295},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.47880157828330994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4579857587814331},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.44620412588119507},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4307863712310791},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4176979959011078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3663678765296936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451669216156006},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3337235152721405},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2939672.2939840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939840","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939840&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8051961","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/8051961","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781450342322","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/ac13b463-2aeb-4e66-90b5-a14f0c096501","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/ac13b463-2aeb-4e66-90b5-a14f0c096501","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kang, B, Lijffijt, J, Santos-Rodriguez, R & De Bie, T 2016, Subjectively Interesting Component Analysis : Data Projections that Contrast with Prior Expectations. in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16. vol. August 2016, Association for Computing Machinery, New York, NY, USA, pp. 1615-1624. https://doi.org/10.1145/2939672.2939840","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/ac13b463-2aeb-4e66-90b5-a14f0c096501","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/ac13b463-2aeb-4e66-90b5-a14f0c096501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/2939672.2939840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2939672.2939840","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2939840&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2602915566","display_name":null,"funder_award_id":"EP/M000060/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2988008325","display_name":"Data Science for the Detection of Emerging Music Styles","funder_award_id":"EP/M000060/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4097786536","display_name":null,"funder_award_id":"615517","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G8057144507","display_name":"Formalizing Subjective Interestingness in Exploratory Data Mining","funder_award_id":"615517","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2366913357.pdf","grobid_xml":"https://content.openalex.org/works/W2366913357.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1988219946","https://openalex.org/W1994432310","https://openalex.org/W2001141328","https://openalex.org/W2063532964","https://openalex.org/W2076743544","https://openalex.org/W2097308346","https://openalex.org/W2098693229","https://openalex.org/W2101556484","https://openalex.org/W2104780023","https://openalex.org/W2123921160","https://openalex.org/W2124541940","https://openalex.org/W2125874614","https://openalex.org/W2128967345","https://openalex.org/W2132914434","https://openalex.org/W2154872931","https://openalex.org/W2165874743","https://openalex.org/W2177136334","https://openalex.org/W2613161123","https://openalex.org/W3141595720","https://openalex.org/W3148198191","https://openalex.org/W3179903767","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4386062776","https://openalex.org/W2085754318","https://openalex.org/W3089153966","https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2136668498","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099"],"abstract_inverted_index":{"Methods":[0],"that":[1,107,113],"find":[2,20,104,177],"insightful":[3],"low-dimensional":[4,21],"projections":[5,52,106,112],"are":[6,108],"essential":[7],"to":[8,19,29,64,103,170,176],"effectively":[9],"explore":[10],"high-dimensional":[11],"data.":[12,136],"Principal":[13,81],"Component":[14,82,99],"Analysis":[15,83,100],"is":[16,27,33,42,62,70,84,119,141,149],"used":[17],"pervasively":[18],"projections,":[22],"not":[23,59,75],"only":[24],"because":[25,37],"it":[26,32],"straightforward":[28],"use,":[30],"but":[31],"also":[34],"often":[35,43],"effective,":[36],"the":[38,51,57,78,116,135,147],"variance":[39,154],"in":[40,56,77,121],"data":[41,105],"dominated":[44],"by":[45],"relevant":[46],"structure.":[47],"However,":[48],"even":[49],"if":[50],"highlight":[53],"real":[54],"structure":[55,61],"data,":[58,164,169],"all":[60],"interesting":[63,89,179],"every":[65],"user.":[66],"If":[67],"a":[68,93,130,142,150],"user":[69],"already":[71],"aware":[72],"of,":[73],"or":[74],"interested":[76],"dominant":[79],"structure,":[80],"less":[85],"effective":[86],"for":[87],"finding":[88],"components.":[90],"We":[91,157],"introduce":[92],"new":[94],"method":[95],"called":[96],"Subjectively":[97],"Interesting":[98],"(SICA),":[101],"designed":[102],"subjectively":[109],"interesting,":[110],"i.e,":[111],"truly":[114],"surprise":[115],"end-user.":[117],"It":[118],"rooted":[120],"information":[122],"theory":[123],"and":[124,146,155,167],"employs":[125],"an":[126],"explicit":[127],"model":[128],"of":[129],"user's":[131],"prior":[132],"expectations":[133],"about":[134],"The":[137],"corresponding":[138],"optimization":[139],"problem":[140],"simple":[143],"eigenvalue":[144],"problem,":[145],"result":[148],"trade-off":[151],"between":[152],"explained":[153],"novelty.":[156],"present":[158],"five":[159],"case":[160],"studies":[161],"on":[162],"synthetic":[163],"images,":[165],"time-series,":[166],"spatial":[168],"illustrate":[171],"how":[172],"SICA":[173],"enables":[174],"users":[175],"(subjectively)":[178],"projections.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}