{"id":"https://openalex.org/W2906026859","doi":"https://doi.org/10.1109/vast.2017.8585619","title":"Exploring Lekagul Sensor Events using Rules, Aggregations, and Selections","display_name":"Exploring Lekagul Sensor Events using Rules, Aggregations, and Selections","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2906026859","doi":"https://doi.org/10.1109/vast.2017.8585619","mag":"2906026859"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2017.8585619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2017.8585619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5013797659","display_name":"Bram C.M. Cappers","orcid":"https://orcid.org/0009-0003-4568-5568"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Bram C.M. Cappers","raw_affiliation_strings":["Eindhoven University of Technology"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013797659"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25526119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"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":0.9835000038146973,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9815000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7494201064109802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418411374092102},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6768108010292053},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6627838611602783},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.516697883605957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49274948239326477},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.47957175970077515},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4671337902545929},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.457121342420578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41770774126052856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2271522581577301},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0784192681312561}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7494201064109802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418411374092102},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6768108010292053},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6627838611602783},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.516697883605957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49274948239326477},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.47957175970077515},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4671337902545929},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.457121342420578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41770774126052856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2271522581577301},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0784192681312561},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/vast.2017.8585619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2017.8585619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/c945626d-a626-443c-bbb5-bddb9d42faf8","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/c945626d-a626-443c-bbb5-bddb9d42faf8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research 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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cappers, B C M 2018, Exploring lekagul sensor events using rules, aggregations, and selections. in T Schreck, B Fisher & S Liu (eds), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings., 8585619, Institute of Electrical and Electronics Engineers, pp. 193-194, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, United States, 1/10/17. https://doi.org/10.1109/VAST.2017.8585619","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:870176","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=870176","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:870176","is_oa":false,"landing_page_url":"http://repository.tue.nl/870176","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:878685","is_oa":false,"landing_page_url":"http://repository.tue.nl/878685","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.tue.nl:publications/c945626d-a626-443c-bbb5-bddb9d42faf8","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85061059811&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research 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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cappers, B C M 2018, Exploring lekagul sensor events using rules, aggregations, and selections. in T Schreck, B Fisher & S Liu (eds), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings., 8585619, Institute of Electrical and Electronics Engineers, pp. 193-194, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, United States, 1/10/17. https://doi.org/10.1109/VAST.2017.8585619","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/c945626d-a626-443c-bbb5-bddb9d42faf8","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/c945626d-a626-443c-bbb5-bddb9d42faf8","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":"2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings, 193 - 194","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2550670348","https://openalex.org/W2750661846"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4243682621","https://openalex.org/W2036849593"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,6,58,69],"demonstrate":[4],"how":[5],"can":[7],"study":[8,53],"multivariate":[9,35],"event":[10,28],"sequences":[11],"in":[12,71],"the":[13,32,72],"VAST":[14],"Mini":[15],"Challenge":[16],"1":[17],"data":[18,73],"set":[19],"using":[20],"our":[21,60],"system":[22],"Eventpad,":[23],"a":[24],"notepad":[25],"editor":[26],"for":[27],"data.":[29],"We":[30],"illustrate":[31],"effectiveness":[33],"of":[34,46],"regular":[36],"expressions,":[37],"pattern":[38],"aggregations,":[39],"and":[40,52,63,67],"selections":[41],"to":[42],"define":[43],"custom":[44],"events":[45],"interest,":[47],"discover":[48],"patterns":[49,66],"within":[50],"sequences,":[51],"differences":[54],"between":[55],"sequences.":[56],"Finally,":[57],"discuss":[59],"analysis":[61],"process":[62],"summarize":[64],"some":[65],"anomalies":[68],"discovered":[70],"set.":[74]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
