{"id":"https://openalex.org/W1496169742","doi":"https://doi.org/10.1007/978-3-642-15880-3_25","title":"Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression","display_name":"Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1496169742","doi":"https://doi.org/10.1007/978-3-642-15880-3_25","mag":"1496169742"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15880-3_25","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_25","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_25.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":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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_25.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039697238","display_name":"Gerben de Vries","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gerben de Vries","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Sciencepark 107, 1098, XG, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Sciencepark 107, 1098, XG, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111463215","display_name":"Maarten van Someren","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten van Someren","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Sciencepark 107, 1098, XG, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Sciencepark 107, 1098, XG, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039697238"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.2306,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91792929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994999766349792,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8089308738708496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973504066467285},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6685010194778442},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6597404479980469},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6442998647689819},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6091902256011963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5330086350440979},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.48096004128456116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45694005489349365},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43498462438583374},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4338160753250122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36054182052612305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33962398767471313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15628033876419067}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8089308738708496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973504066467285},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6685010194778442},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6597404479980469},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6442998647689819},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6091902256011963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5330086350440979},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48096004128456116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45694005489349365},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43498462438583374},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4338160753250122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36054182052612305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33962398767471313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15628033876419067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-642-15880-3_25","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_25","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_25.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":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:dare.uva.nl:openaire_cris_publications/9e885690-f85c-4935-a396-5dbbd2acb81b","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/clustering-vessel-trajectories-with-alignment-kernels-under-trajectory-compression(9e885690-f85c-4935-a396-5dbbd2acb81b).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"de Vries, G & van Someren, M 2010, Clustering vessel trajectories with alignment kernels under trajectory compression. in J L Balc\u00e1zar, F Bonchi, A Gionis & M Sebag (eds), Machine Learning and Knowledge Discovery in Databases : European conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 : proceedings. vol. 1, Lecture Notes in Computer Science, vol. 6321, Lecture Notes in Artificial Intelligence, Berlin, pp. 296-311, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), Barcelona, Spain, 20/09/10. https://doi.org/10.1007/978-3-642-15880-3_25","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/9e885690-f85c-4935-a396-5dbbd2acb81b","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/clustering-vessel-trajectories-with-alignment-kernels-under-trajectory-compression(9e885690-f85c-4935-a396-5dbbd2acb81b).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Discovery in Databases: European conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 : proceedings, 1, 296 - 311","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-15880-3_25","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_25","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_25.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1496169742.pdf","grobid_xml":"https://content.openalex.org/works/W1496169742.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1542652324","https://openalex.org/W1556930611","https://openalex.org/W1597504361","https://openalex.org/W1943383135","https://openalex.org/W1981398125","https://openalex.org/W1981934656","https://openalex.org/W1986007546","https://openalex.org/W2047216628","https://openalex.org/W2060346657","https://openalex.org/W2063989480","https://openalex.org/W2096989899","https://openalex.org/W2097747115","https://openalex.org/W2124958607","https://openalex.org/W2135957668","https://openalex.org/W2145531655","https://openalex.org/W2147880780","https://openalex.org/W2153249319","https://openalex.org/W2154530918","https://openalex.org/W2165874743","https://openalex.org/W2166370472","https://openalex.org/W2622792335","https://openalex.org/W3144379435","https://openalex.org/W4232750680"],"related_works":["https://openalex.org/W2950183183","https://openalex.org/W2341338763","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2894081631","https://openalex.org/W2124958607","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}