{"id":"https://openalex.org/W2032193155","doi":"https://doi.org/10.1145/2093973.2093981","title":"Discovering interesting sub-paths in spatiotemporal datasets","display_name":"Discovering interesting sub-paths in spatiotemporal datasets","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2032193155","doi":"https://doi.org/10.1145/2093973.2093981","mag":"2032193155"},"language":"en","primary_location":{"id":"doi:10.1145/2093973.2093981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2093973.2093981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5086198510","display_name":"Xun Zhou","orcid":"https://orcid.org/0000-0003-4930-6572"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xun Zhou","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037233397","display_name":"Shashi Shekhar","orcid":"https://orcid.org/0000-0001-8837-192X"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashi Shekhar","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008381500","display_name":"Pradeep Mohan","orcid":"https://orcid.org/0000-0001-5859-2625"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Mohan","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051716021","display_name":"Stefan Liess","orcid":"https://orcid.org/0000-0002-3544-8505"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Liess","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043159625","display_name":"P. K. Snyder","orcid":"https://orcid.org/0000-0002-4711-9426"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter K. Snyder","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086198510"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":3.0623,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91855746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9916999936103821,"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":0.9916999936103821,"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":0.9502000212669373,"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"}},{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7212926745414734},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7145274877548218},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6731780171394348},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5904579758644104},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5316339731216431},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44627082347869873},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.4302118718624115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39999520778656006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3876640796661377},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3590184450149536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25535398721694946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23566123843193054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7212926745414734},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7145274877548218},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6731780171394348},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5904579758644104},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5316339731216431},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44627082347869873},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.4302118718624115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39999520778656006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3876640796661377},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3590184450149536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25535398721694946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23566123843193054},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2093973.2093981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2093973.2093981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1049865505","display_name":null,"funder_award_id":"1029711IIICXT IIS-0713214IGERT DGE-0504195CRI:IAD CNS-0708604","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G1203189483","display_name":null,"funder_award_id":"1029711IIICXT IIS-0713214IGERT DGE-0504195CRI:IAD CNS-0708604","funder_id":"https://openalex.org/F4320337368","funder_display_name":"Division of Graduate Education"},{"id":"https://openalex.org/G1753962676","display_name":null,"funder_award_id":"1029711IIICXT IIS-0713214IGERT DGE-0504195CRI:IAD CNS-0708604","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3715997590","display_name":null,"funder_award_id":"HM1582-08-1-0017HM1582-07-1-2035W9132V-09-C-0009","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G3984861086","display_name":null,"funder_award_id":"1029711IIICXT IIS-0713214IGERT DGE-0504195CRI:IAD CNS-0708604","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1528270775","https://openalex.org/W1549255393","https://openalex.org/W1593142020","https://openalex.org/W2026259912","https://openalex.org/W2046466133","https://openalex.org/W2051903196","https://openalex.org/W2057387551","https://openalex.org/W2103326531","https://openalex.org/W2107939894","https://openalex.org/W2122029350","https://openalex.org/W2124229723","https://openalex.org/W2130044234","https://openalex.org/W2145023731","https://openalex.org/W2151253461","https://openalex.org/W2325673403","https://openalex.org/W2483430316","https://openalex.org/W4249116379","https://openalex.org/W6631614659","https://openalex.org/W6681893956","https://openalex.org/W6722243183"],"related_works":["https://openalex.org/W170547082","https://openalex.org/W2136735429","https://openalex.org/W2587876411","https://openalex.org/W2358332176","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4229950834","https://openalex.org/W4247536566","https://openalex.org/W4301044568","https://openalex.org/W1587123803"],"abstract_inverted_index":{"Given":[0],"a":[1,6,65,84],"spatiotemporal":[2,11],"(ST)":[3],"dataset":[4],"and":[5,38,60,87,125,143],"path":[7],"in":[8],"its":[9],"embedding":[10],"framework,":[12],"the":[13,50,55,129],"goal":[14],"is":[15,29,45],"to":[16,17,49],"identify":[18],"all":[19],"interesting":[20,70,78,96,111],"sub-paths":[21,59,72,112],"defined":[22],"by":[23],"an":[24],"interest":[25],"measure.":[26],"Sub-path":[27,85],"discovery":[28],"of":[30,53,58,62,94,122,128,137],"fundamental":[31],"importance":[32],"for":[33,141],"understanding":[34],"climate":[35,102,116],"changes,":[36],"agriculture,":[37],"many":[39],"other":[40],"application.":[41],"However,":[42],"this":[43],"problem":[44],"computationally":[46],"challenging":[47],"due":[48],"massive":[51],"volume":[52],"data,":[54],"varying":[56],"length":[57],"non-monotonicity":[61],"interestingness":[63],"throughout":[64],"sub-path.":[66],"Previous":[67],"approaches":[68],"find":[69,109],"unit":[71,74],"(e.g.,":[73],"time":[75],"interval)":[76],"or":[77],"points.":[79],"By":[80],"contrast,":[81],"we":[82],"propose":[83],"Enumeration":[86],"Pruning":[88],"(SEP)":[89],"approach":[90],"that":[91,106],"finds":[92],"collections":[93],"long":[95,110],"sub-paths.":[97,146],"Two":[98],"case":[99],"studies":[100],"using":[101],"change":[103],"datasets":[104],"show":[105],"SEP":[107],"can":[108],"which":[113],"represent":[114],"abrupt":[115],"change.":[117],"We":[118,132],"provide":[119,134],"theoretical":[120],"analyses":[121],"correctness,":[123],"completeness":[124],"computational":[126],"complexity":[127],"proposed":[130],"approach.":[131],"also":[133],"experimental":[135],"evaluation":[136],"two":[138],"traversal":[139],"strategies":[140],"enumerating":[142],"pruning":[144],"candidate":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}