{"id":"https://openalex.org/W4387430406","doi":"https://doi.org/10.1007/978-3-031-45275-8_22","title":"EXPHLOT: EXplainable Privacy Assessment for\u00a0Human LOcation Trajectories","display_name":"EXPHLOT: EXplainable Privacy Assessment for\u00a0Human LOcation Trajectories","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387430406","doi":"https://doi.org/10.1007/978-3-031-45275-8_22"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-45275-8_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_22","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_22.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_22.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082937374","display_name":"Francesca Naretto","orcid":"https://orcid.org/0000-0003-1301-7787"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesca Naretto","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1301-7787","affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012682000","display_name":"Roberto Pellungrini","orcid":"https://orcid.org/0000-0003-3268-9271"},"institutions":[{"id":"https://openalex.org/I157210198","display_name":"Scuola Normale Superiore","ror":"https://ror.org/03aydme10","country_code":"IT","type":"education","lineage":["https://openalex.org/I157210198"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Pellungrini","raw_affiliation_strings":["Scuola Normale Superiore, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3268-9271","affiliations":[{"raw_affiliation_string":"Scuola Normale Superiore, Pisa, Italy","institution_ids":["https://openalex.org/I157210198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024898168","display_name":"Salvatore Rinzivillo","orcid":"https://orcid.org/0000-0003-4404-4147"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Rinzivillo","raw_affiliation_strings":["ISTI CNR, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4404-4147","affiliations":[{"raw_affiliation_string":"ISTI CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004951359","display_name":"Daniele Fadda","orcid":"https://orcid.org/0000-0002-0051-0604"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Fadda","raw_affiliation_strings":["ISTI CNR, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0051-0604","affiliations":[{"raw_affiliation_string":"ISTI CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082937374"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":10.2725,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98252264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"325","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.850898265838623},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6776063442230225},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4768610894680023},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4665389358997345},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45737600326538086},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3947121500968933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3905162513256073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38740262389183044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36892908811569214},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2818945646286011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.850898265838623},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6776063442230225},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4768610894680023},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4665389358997345},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45737600326538086},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3947121500968933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3905162513256073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38740262389183044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36892908811569214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2818945646286011},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-031-45275-8_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_22","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_22.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ricerca.sns.it:11384/138311","is_oa":true,"landing_page_url":"https://hdl.handle.net/11384/138311","pdf_url":"https://ricerca.sns.it/bitstream/11384/138311/1/978-3-031-45275-8_22.pdf","source":{"id":"https://openalex.org/S7407050981","display_name":"Scuola Normale Superiore di Pisa","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arpi.unipi.it:11568/1273091","is_oa":true,"landing_page_url":"https://link.springer.com/chapter/10.1007/978-3-031-45275-8_22#citeas","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arpi.unipi.it:11568/1280307","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1280307","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dnet:people______::bf8a983ef644fa5aa50a23c98fc539e7","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::bf8a983ef644fa5aa50a23c98fc539e7","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"DS 2023 - 26th International Conference on Discovery Science, pp. 325\u2013340, Porto, Portugal, 09-11/10/2023","raw_type":"Conference article"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-45275-8_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-45275-8_22","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45275-8_22.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1915137738","display_name":null,"funder_award_id":"101092749","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3827193553","display_name":null,"funder_award_id":"952215","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G417740753","display_name":null,"funder_award_id":"INFRAIA-01-2018-2019","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5542951831","display_name":null,"funder_award_id":"952026","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G899169222","display_name":null,"funder_award_id":"871042","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387430406.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1547466200","https://openalex.org/W1735274207","https://openalex.org/W1737853022","https://openalex.org/W2064675550","https://openalex.org/W2115240023","https://openalex.org/W2119067110","https://openalex.org/W2123346156","https://openalex.org/W2282821441","https://openalex.org/W2410319475","https://openalex.org/W2603341501","https://openalex.org/W2770939714","https://openalex.org/W2771725595","https://openalex.org/W2902111678","https://openalex.org/W2945319864","https://openalex.org/W2963292722","https://openalex.org/W2963914175","https://openalex.org/W2972810968","https://openalex.org/W2982438846","https://openalex.org/W2994120362","https://openalex.org/W2997885661","https://openalex.org/W3042807565","https://openalex.org/W3083891030","https://openalex.org/W3112330479","https://openalex.org/W3121603028","https://openalex.org/W3128683335","https://openalex.org/W3130450512","https://openalex.org/W3176895663","https://openalex.org/W3190461479","https://openalex.org/W4200568363","https://openalex.org/W4221041014","https://openalex.org/W6834628200"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W3012838233","https://openalex.org/W4252510819","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W2330446075","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2961085424"],"abstract_inverted_index":{"Abstract":[0],"Human":[1],"mobility":[2,10,66,80,117,150,167],"data":[3,81],"play":[4],"a":[5,101,172,183],"crucial":[6],"role":[7],"in":[8,83,123,166],"understanding":[9,190],"patterns":[11],"and":[12,24,68,94,110,129,177,194],"developing":[13],"analytical":[14],"services":[15],"across":[16],"various":[17],"domains":[18],"such":[19],"as":[20,127],"urban":[21],"planning,":[22],"transportation,":[23],"public":[25],"health.":[26],"However,":[27,76],"due":[28],"to":[29,44,47,79,132,158],"the":[30,48,54,69,105],"sensitive":[31],"nature":[32],"of":[33,56,71,87,104,179,191],"this":[34,97],"data,":[35],"accurately":[36],"identifying":[37],"privacy":[38,62,92,107,164,195],"risks":[39],"is":[40],"essential":[41],"before":[42],"deciding":[43],"release":[45],"it":[46],"public.":[49],"Recent":[50],"work":[51],"has":[52],"proposed":[53],"use":[55,70,89],"machine":[57],"learning":[58],"models":[59],"for":[60,73,91,115,163,174],"predicting":[61],"risk":[63,74,108,134,165],"on":[64,149],"raw":[65],"trajectories":[67],"shap":[72,78,147,161,180,192],"explanation.":[75],"applying":[77],"results":[82],"explanations":[84],"that":[85],"are":[86],"limited":[88],"both":[90],"experts":[93],"end-users.":[95],"In":[96],"work,":[98],"we":[99,141,153,170],"present":[100],"novel":[102],"version":[103],"Expert":[106],"prediction":[109,135],"explanation":[111,148],"framework":[112],"specifically":[113],"tailored":[114],"human":[116],"data.":[118],"We":[119],"leverage":[120],"state-of-the-art":[121],"algorithms":[122],"time":[124],"series":[125],"classification,":[126],"Rocket":[128],"InceptionTime":[130],",":[131],"improve":[133],"while":[136],"reducing":[137],"computation":[138],"time.":[139],"Additionally,":[140],"address":[142],"two":[143],"key":[144],"issues":[145],"with":[146,187],"data:":[151],"first,":[152],"devise":[154],"an":[155,188],"entropy-based":[156],"mask":[157],"efficiently":[159],"compute":[160],"values":[162,181,193],"data;":[168],"second,":[169],"develop":[171],"module":[173],"interactive":[175],"analysis":[176],"visualization":[178],"over":[182],"map,":[184],"empowering":[185],"users":[186],"intuitive":[189],"risk.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2023-10-08T00:00:00"}