{"id":"https://openalex.org/W2519783667","doi":"https://doi.org/10.1145/2968219.2968319","title":"Mining hidden correlations between sleep and lifestyle factors from quantified-self data","display_name":"Mining hidden correlations between sleep and lifestyle factors from quantified-self data","publication_year":2016,"publication_date":"2016-09-12","ids":{"openalex":"https://openalex.org/W2519783667","doi":"https://doi.org/10.1145/2968219.2968319","mag":"2519783667"},"language":"en","primary_location":{"id":"doi:10.1145/2968219.2968319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968219.2968319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","raw_type":"proceedings-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/A5054416259","display_name":"Zilu Liang","orcid":"https://orcid.org/0000-0002-2328-5016"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zilu Liang","raw_affiliation_strings":["The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021675338","display_name":"Mario Alberto Chapa Martell","orcid":"https://orcid.org/0000-0002-4110-4346"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mario Alberto Chapa Martell","raw_affiliation_strings":["The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087215423","display_name":"Takuichi Nishimura","orcid":"https://orcid.org/0000-0003-1784-4624"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuichi Nishimura","raw_affiliation_strings":["National Institute of Advanced Industrial, Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial, Science and Technology, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054416259"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":4.0894,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93944069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9373000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.685202419757843},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6715059280395508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589961647987366},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5835450291633606},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5501851439476013},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5334107279777527},{"id":"https://openalex.org/keywords/sleep-patterns","display_name":"Sleep patterns","score":0.4951838552951813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48809587955474854},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4738869071006775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4238336384296417},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4218406677246094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.390455424785614},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21682211756706238},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2156001627445221},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1566115915775299},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11895942687988281}],"concepts":[{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.685202419757843},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6715059280395508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589961647987366},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5835450291633606},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5501851439476013},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5334107279777527},{"id":"https://openalex.org/C3019903994","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep patterns","level":3,"score":0.4951838552951813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48809587955474854},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4738869071006775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4238336384296417},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4218406677246094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.390455424785614},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21682211756706238},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2156001627445221},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1566115915775299},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11895942687988281},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2968219.2968319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2968219.2968319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W244799260","https://openalex.org/W1506285740","https://openalex.org/W1983122581","https://openalex.org/W2030302839","https://openalex.org/W2124211545","https://openalex.org/W2138073318","https://openalex.org/W2145979309","https://openalex.org/W2403552994","https://openalex.org/W2519493178","https://openalex.org/W3106063097"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W2027314909","https://openalex.org/W1036938216","https://openalex.org/W3109425891","https://openalex.org/W2113714434","https://openalex.org/W3096637473","https://openalex.org/W2377792686","https://openalex.org/W4200439127","https://openalex.org/W829658220","https://openalex.org/W2946560178"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"widely":[3],"recognized":[4],"that":[5,72],"discovering":[6],"potential":[7],"contributing":[8,27],"factors":[9,28],"to":[10,33,83],"personal":[11],"sleep":[12,18,34,85],"is":[13],"as":[14,16],"important":[15],"understanding":[17],"pattern":[19],"per":[20],"se.":[21],"However,":[22],"in":[23],"large":[24],"quantified-self":[25],"datasets,":[26],"may":[29],"only":[30,67],"show":[31],"correlations":[32,71],"when":[35],"their":[36],"values":[37],"are":[38],"within":[39],"certain":[40],"ranges.":[41],"Existing":[42],"correlation":[43],"analysis":[44],"using":[45],"Pearson":[46],"Correlation":[47],"Coefficient":[48],"cannot":[49],"identify":[50],"such":[51],"hidden":[52,70],"dependencies.":[53],"We":[54],"propose":[55],"a":[56],"new":[57],"method":[58,65],"based":[59],"on":[60],"association":[61],"rules":[62],"mining.":[63],"Our":[64],"not":[66],"can":[68],"discover":[69],"existing":[73],"methods":[74],"cannot,":[75],"but":[76],"also":[77],"provides":[78],"users":[79],"with":[80],"actionable":[81],"knowledge":[82],"guide":[84],"improvement":[86],"through":[87],"lifestyle":[88],"change.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}