{"id":"https://openalex.org/W1968574484","doi":"https://doi.org/10.1145/2631926","title":"On Discovery of Spatiotemporal Influence-Based Moving Clusters","display_name":"On Discovery of Spatiotemporal Influence-Based Moving Clusters","publication_year":2015,"publication_date":"2015-03-11","ids":{"openalex":"https://openalex.org/W1968574484","doi":"https://doi.org/10.1145/2631926","mag":"1968574484"},"language":"en","primary_location":{"id":"doi:10.1145/2631926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2631926","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5033934770","display_name":"Dhaval Patel","orcid":"https://orcid.org/0000-0002-5449-6975"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dhaval Patel","raw_affiliation_strings":["Indian Institute of Technology, Roorkee, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033934770"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.8616,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73478312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"1","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8341304063796997},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7376667261123657},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.7166293263435364},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6293858289718628},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5311440825462341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5301300883293152},{"id":"https://openalex.org/keywords/spatiotemporal-database","display_name":"Spatiotemporal database","score":0.476403146982193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4507383108139038},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4435714781284332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3239991366863251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341304063796997},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7376667261123657},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.7166293263435364},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6293858289718628},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5311440825462341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5301300883293152},{"id":"https://openalex.org/C98080885","wikidata":"https://www.wikidata.org/wiki/Q7574095","display_name":"Spatiotemporal database","level":5,"score":0.476403146982193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4507383108139038},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4435714781284332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3239991366863251},{"id":"https://openalex.org/C107535962","wikidata":"https://www.wikidata.org/wiki/Q2459880","display_name":"Database tuning","level":4,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2631926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2631926","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W70367230","https://openalex.org/W1497467197","https://openalex.org/W1515526911","https://openalex.org/W1578329763","https://openalex.org/W1579359254","https://openalex.org/W1673310716","https://openalex.org/W1934562893","https://openalex.org/W1971022913","https://openalex.org/W1980435364","https://openalex.org/W1981398125","https://openalex.org/W1990747362","https://openalex.org/W1991190417","https://openalex.org/W2002564706","https://openalex.org/W2017805816","https://openalex.org/W2046466133","https://openalex.org/W2047216628","https://openalex.org/W2062231365","https://openalex.org/W2067193733","https://openalex.org/W2070460277","https://openalex.org/W2074104866","https://openalex.org/W2085461356","https://openalex.org/W2093038664","https://openalex.org/W2104809968","https://openalex.org/W2105093929","https://openalex.org/W2105399656","https://openalex.org/W2105772399","https://openalex.org/W2107232842","https://openalex.org/W2118946263","https://openalex.org/W2120117766","https://openalex.org/W2120436185","https://openalex.org/W2124499489","https://openalex.org/W2136662835","https://openalex.org/W2141136363","https://openalex.org/W2143182948","https://openalex.org/W2147377427","https://openalex.org/W2165169065","https://openalex.org/W2200650799","https://openalex.org/W2399880163"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2348844325","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923"],"abstract_inverted_index":{"A":[0,53],"moving":[1,28,40,56,107,126,143,174],"object":[2,24,29,76,84,96],"cluster":[3,41,57,66,79,89],"is":[4,58,67,91,145],"a":[5,16,37,48,59,68,78,129,150,163],"set":[6,49,69],"of":[7,50,61,70,104,111,116,123,131,194],"objects":[8],"that":[9,42,74],"move":[10],"close":[11],"to":[12,26,153,168],"each":[13,65,75],"other":[14],"for":[15,138],"long":[17],"time":[18],"interval.":[19],"Existing":[20],"works":[21],"have":[22],"utilized":[23],"trajectories":[25],"discover":[27],"clusters":[30,108,127,144,175],"efficiently.":[31],"In":[32],"this":[33],"article,":[34],"we":[35,148],"define":[36],"spatiotemporal":[38,44,54,105,124,132,141,172],"influence-based":[39,55,106,125,142,173],"captures":[43],"influence":[45],"spread":[46,115],"over":[47],"spatial":[51,62],"objects.":[52],"sequence":[60],"clusters,":[63],"where":[64],"nearby":[71],"objects,":[72],"such":[73],"in":[77,85,128],"influences":[80],"at":[81],"least":[82],"one":[83],"the":[86,98,121,135,156,170,180,190],"next":[87],"immediate":[88,99],"and":[90,114,192],"also":[92],"influenced":[93],"by":[94],"an":[95],"from":[97],"preceding":[100],"cluster.":[101],"Real-life":[102],"examples":[103],"include":[109],"diffusion":[110],"infectious":[112],"diseases":[113],"innovative":[117],"ideas.":[118],"We":[119],"study":[120],"discovery":[122],"database":[130],"events.":[133],"While":[134],"search":[136],"space":[137],"discovering":[139],"all":[140],"prohibitively":[146],"huge,":[147],"design":[149],"method,":[151],"STIMer,":[152],"efficiently":[154],"retrieve":[155],"maximal":[157,171],"answer.":[158],"The":[159],"algorithm":[160],"STIMer":[161],"adopts":[162],"top-down":[164],"recursive":[165],"refinement":[166],"method":[167],"generate":[169],"directly.":[176],"Empirical":[177],"studies":[178],"on":[179],"real":[181],"data":[182,188],"as":[183,185],"well":[184],"large":[186],"synthetic":[187],"demonstrate":[189],"effectiveness":[191],"efficiency":[193],"our":[195],"method.":[196]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
