{"id":"https://openalex.org/W2760004763","doi":"https://doi.org/10.1109/tkde.2017.2754252","title":"A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types","display_name":"A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types","publication_year":2017,"publication_date":"2017-09-20","ids":{"openalex":"https://openalex.org/W2760004763","doi":"https://doi.org/10.1109/tkde.2017.2754252","mag":"2760004763"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2017.2754252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2754252","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/31349","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031788095","display_name":"Berna Bakir Batu","orcid":"https://orcid.org/0000-0002-6878-8266"},"institutions":[{"id":"https://openalex.org/I4210144804","display_name":"Laboratoire de Recherche en Informatique","ror":"https://ror.org/04e3ktk27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210144804","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Berna Bakir Batu","raw_affiliation_strings":["Laboratoire de Recherche en Informatique, Universit\u00e9 Paris-Sud, Paris, France","[Laboratoire de Recherche en Informatique, Universit\u00e9 Paris-Sud, Paris, France]"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Recherche en Informatique, Universit\u00e9 Paris-Sud, Paris, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210144804"]},{"raw_affiliation_string":"[Laboratoire de Recherche en Informatique, Universit\u00e9 Paris-Sud, Paris, France]","institution_ids":["https://openalex.org/I4210144804","https://openalex.org/I102197404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064355568","display_name":"Tu\u011fba Ta\u015fkaya Temizel","orcid":"https://orcid.org/0000-0001-7387-8621"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tugba Taskaya Temizel","raw_affiliation_strings":["Department of Information Systems, Informatics Institute, Middle East Technical University, Ankara, Turkey","Department of Information Systems, Informatics Institute, Middle East Technical University, Ankara, Turkey#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Informatics Institute, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Department of Information Systems, Informatics Institute, Middle East Technical University, Ankara, Turkey#TAB#","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042611950","display_name":"\u015eebnem D\u00fczg\u00fcn","orcid":"https://orcid.org/0000-0001-7013-9241"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Sebnem Duzgun","raw_affiliation_strings":["Department of Mining Engineering, Colorado School of Mines, Golden, CO"],"affiliations":[{"raw_affiliation_string":"Department of Mining Engineering, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031788095"],"corresponding_institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210144804"],"apc_list":null,"apc_paid":null,"fwci":0.4154,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72748466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":"12","first_page":"2629","last_page":"2642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9940999746322632,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776127815246582},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6811833381652832},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6777361035346985},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6717126369476318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.625686526298523},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6149749159812927},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5204241871833801},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48361650109291077},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45889046788215637},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4526120126247406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3626349866390228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3472936451435089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31289464235305786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13258233666419983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10804393887519836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776127815246582},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6811833381652832},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6777361035346985},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6717126369476318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.625686526298523},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6149749159812927},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5204241871833801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48361650109291077},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45889046788215637},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4526120126247406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3626349866390228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3472936451435089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31289464235305786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13258233666419983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10804393887519836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2017.2754252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2754252","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/31349","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/31349","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/31349","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/31349","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1494204610","https://openalex.org/W1578006941","https://openalex.org/W1580060102","https://openalex.org/W1611898144","https://openalex.org/W1970116940","https://openalex.org/W1973168503","https://openalex.org/W2028944227","https://openalex.org/W2049633694","https://openalex.org/W2050497243","https://openalex.org/W2064758233","https://openalex.org/W2069849731","https://openalex.org/W2071778976","https://openalex.org/W2076072287","https://openalex.org/W2096845327","https://openalex.org/W2101645017","https://openalex.org/W2107990165","https://openalex.org/W2120117766","https://openalex.org/W2123906784","https://openalex.org/W2136502970","https://openalex.org/W2139644595","https://openalex.org/W2141994409","https://openalex.org/W2153218475","https://openalex.org/W2154643661","https://openalex.org/W2157521848","https://openalex.org/W2158454296","https://openalex.org/W2160861243","https://openalex.org/W2167618408","https://openalex.org/W2171442490","https://openalex.org/W2953100823","https://openalex.org/W2963999029","https://openalex.org/W6629833661","https://openalex.org/W6634537505","https://openalex.org/W6634761457","https://openalex.org/W6674784492","https://openalex.org/W6675448251","https://openalex.org/W6677807669","https://openalex.org/W6683175271"],"related_works":["https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W1485223389","https://openalex.org/W2013882407","https://openalex.org/W1981436518","https://openalex.org/W2897428363","https://openalex.org/W2164993559","https://openalex.org/W2794649148","https://openalex.org/W2040597492","https://openalex.org/W3021133747"],"abstract_inverted_index":{"Temporal":[0],"or":[1],"spatio-temporal":[2],"sequential":[3],"pattern":[4],"discovery":[5],"is":[6,52],"a":[7,37,43,74,80],"well-recognized":[8],"important":[9],"problem":[10],"in":[11,136],"many":[12],"domains":[13],"like":[14],"seismology,":[15],"criminology,":[16],"and":[17,42,79,89,94,114],"finance.":[18],"The":[19,121],"majority":[20],"of":[21,36,57,104],"the":[22,55,91,96,109,130,137],"current":[23],"approaches":[24],"are":[25,127],"based":[26,132],"on":[27,62,133],"candidate":[28,134],"generation":[29,135],"which":[30,72],"necessitates":[31],"parameter":[32,63],"tuning,":[33],"namely,":[34],"definition":[35],"neighborhood,":[38],"an":[39,70],"interest":[40],"measure,":[41],"threshold":[44],"value":[45],"to":[46,84,99],"evaluate":[47],"candidates.":[48],"However,":[49],"their":[50],"performance":[51],"limited":[53],"as":[54],"success":[56],"these":[58],"methods":[59,131],"relies":[60],"heavily":[61],"settings.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"algorithm":[71],"uses":[73],"nonparametric":[75],"stochastic":[76],"de-clustering":[77],"procedure":[78],"multivariate":[81],"Hawkes":[82],"model":[83,98],"define":[85],"triggering":[86,102],"relations":[87],"within":[88],"among":[90],"event":[92,105],"types":[93],"employs":[95],"estimated":[97],"extract":[100],"significant":[101],"patterns":[103],"types.":[106],"We":[107],"tested":[108],"proposed":[110],"method":[111,122],"with":[112,129],"real":[113],"synthetic":[115],"data":[116],"sets":[117],"exhibiting":[118],"different":[119],"characteristics.":[120],"gives":[123],"good":[124],"results":[125],"that":[126],"comparable":[128],"literature.":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
