{"id":"https://openalex.org/W3007633093","doi":"https://doi.org/10.1109/bigdata47090.2019.9005715","title":"Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning","display_name":"Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007633093","doi":"https://doi.org/10.1109/bigdata47090.2019.9005715","mag":"3007633093"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5037458079","display_name":"Martin Gjoreski","orcid":"https://orcid.org/0000-0002-1220-7418"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Martin Gjoreski","raw_affiliation_strings":["Department of Intelligent Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083777184","display_name":"Stefan Kochev","orcid":"https://orcid.org/0000-0001-9889-2286"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Stefan Kochev","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033330272","display_name":"Nina Re\u0161\u010di\u010d","orcid":"https://orcid.org/0000-0001-5428-3577"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Nina Rescic","raw_affiliation_strings":["Department of Intelligent Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029138947","display_name":"Matej Gregoric","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118971","display_name":"National Institute of Public Health","ror":"https://ror.org/02zfrea47","country_code":"SI","type":"government","lineage":["https://openalex.org/I4210118971","https://openalex.org/I4210131410"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Matej Gregoric","raw_affiliation_strings":["National Institute of Public Health, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"National Institute of Public Health, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210118971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076065873","display_name":"Barbara Korou\u0161i\u0107 Seljak","orcid":"https://orcid.org/0000-0001-7597-2590"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Barbara Korousic Seljak","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037458079"],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":null,"apc_paid":null,"fwci":0.666,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75578987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"5126","last_page":"5130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9111999869346619,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12873","display_name":"Nutrition, Health and Food Behavior","score":0.9057000279426575,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314096450805664},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5647612810134888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45131823420524597},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.38707202672958374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3210904598236084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314096450805664},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5647612810134888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45131823420524597},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38707202672958374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3210904598236084}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:3042234773","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002276133318720","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W69724053","https://openalex.org/W1501053564","https://openalex.org/W1975222979","https://openalex.org/W1987971958","https://openalex.org/W2034153428","https://openalex.org/W2037094532","https://openalex.org/W2054274648","https://openalex.org/W2083893577","https://openalex.org/W2107471613","https://openalex.org/W2113662349","https://openalex.org/W2123562234","https://openalex.org/W2133081690","https://openalex.org/W2133231335","https://openalex.org/W2162178058"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Populations":[0],"in":[1,73,79,81,174],"countries":[2],"undergoing":[3],"rapid":[4],"transition":[5],"are":[6],"experiencing":[7],"food-":[8],"and":[9,46,59,87,113,118,139,169,200],"nutrition-related":[10],"problems.":[11],"To":[12],"acquire":[13],"high-quality":[14],"nutrition":[15,184],"information,":[16],"we":[17],"need":[18],"beside":[19],"adequate":[20],"data":[21,51,69,180],"about":[22,48],"food":[23,55],"consumption,":[24],"also":[25],"efficient":[26],"methods":[27],"for":[28,44],"the":[29,34,74,166,187,201],"extraction":[30],"of":[31,68,107,116,133,189],"information":[32],"from":[33],"collected":[35,52],"data.":[36],"Our":[37],"aim":[38],"was":[39],"to":[40,92,158,183],"develop":[41],"a":[42,54,66],"methodology":[43],"analyzing":[45],"reasoning":[47],"dietary":[49],"intake":[50,106,115,132],"by":[53,149],"propensity":[56],"questionnaire":[57],"(FPQ)":[58],"dependent":[60],"24-hour":[61],"recalls":[62],"(24HRs).":[63],"We":[64,89],"analysed":[65],"subset":[67],"(about":[70],"197":[71],"participants)":[72],"SI.Menu":[75],"survey":[76],"carried":[77],"out":[78],"2016/17":[80],"Slovenia.":[82],"The":[83,120,142],"participants":[84,99,125],"completed":[85],"FPQs":[86],"24HRs.":[88],"were":[90],"able":[91],"identify":[93],"four":[94,143,151],"clusters.":[95],"Two":[96],"clusters":[97,123,144],"represented":[98,124],"with":[100,126],"more":[101],"healthy":[102,128],"habits,":[103,129],"e.g.,":[104,130],"low":[105,136],"animal":[108,134],"fats,":[109,135],"high":[110,114,131],"breakfast":[111,137],"frequency,":[112],"fruits":[117],"vegetables.":[119],"other":[121],"two":[122],"less":[127],"frequency":[138],"increased":[140],"BMI.":[141],"can":[145],"be":[146],"well":[147],"separated":[148],"only":[150],"variables.":[152],"This":[153],"interesting":[154],"discovery":[155],"could":[156,163,170],"lead":[157],"simplified":[159],"FFQ":[160],"questionnaires,":[161],"which":[162],"significantly":[164],"decrease":[165],"participants'":[167],"burden":[168],"ensure":[171],"participant":[172],"compliance":[173],"similar":[175],"studies.":[176],"Having":[177],"big":[178],"national":[179],"set":[181],"related":[182],"should":[185],"ease":[186],"process":[188],"creating":[190],"sustainable":[191],"policies":[192],"that":[193],"will":[194],"ultimately":[195],"benefit":[196],"agriculture,":[197],"human":[198],"health":[199],"environment.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}