{"id":"https://openalex.org/W2432720300","doi":"https://doi.org/10.1007/978-3-319-31753-3_44","title":"Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning","display_name":"Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2432720300","doi":"https://doi.org/10.1007/978-3-319-31753-3_44","mag":"2432720300"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-31753-3_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-31753-3_44","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070920605","display_name":"Jihed Khiari","orcid":"https://orcid.org/0000-0002-1514-060X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jihed Khiari","raw_affiliation_strings":["NEC Laboratories Europe, 69115, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe, 69115, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066290777","display_name":"Lu\u00eds Moreira-Matias","orcid":"https://orcid.org/0000-0003-3863-6357"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Moreira-Matias","raw_affiliation_strings":["NEC Laboratories Europe, 69115, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe, 69115, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018859851","display_name":"V\u00edtor Cerqueira","orcid":"https://orcid.org/0000-0002-9694-8423"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vitor Cerqueira","raw_affiliation_strings":["NEC Laboratories Europe, 69115, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe, 69115, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058766860","display_name":"Oded Cats","orcid":"https://orcid.org/0000-0002-4506-0459"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Oded Cats","raw_affiliation_strings":["Department of Transport and Planning, TU Delft, 2600, Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Transport and Planning, TU Delft, 2600, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070920605"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.6883,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96490251,"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":"552","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"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/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.988099992275238,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.8663656711578369},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.7807625532150269},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6890416741371155},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6106226444244385},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5357005000114441},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49268490076065063},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4726656675338745},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4680131673812866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4490974545478821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43914806842803955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3981504738330841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8663656711578369},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.7807625532150269},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6890416741371155},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6106226444244385},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5357005000114441},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49268490076065063},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4726656675338745},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4680131673812866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4490974545478821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43914806842803955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3981504738330841},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-31753-3_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-31753-3_44","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:tudelft.nl:uuid:b7ec5d96-f18f-4d3d-a845-a97f018423a1","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:b7ec5d96-f18f-4d3d-a845-a97f018423a1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2705854","https://openalex.org/W1981974386","https://openalex.org/W2011832962","https://openalex.org/W2023402893","https://openalex.org/W2026878593","https://openalex.org/W2068770142","https://openalex.org/W2068821834","https://openalex.org/W2102364438","https://openalex.org/W2112980990","https://openalex.org/W2122111042","https://openalex.org/W2134441897","https://openalex.org/W2147694185","https://openalex.org/W2168175751"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2494523064","https://openalex.org/W2132641928","https://openalex.org/W2943623134","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2215759665","https://openalex.org/W2083665254","https://openalex.org/W2368237856"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}